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422c229e52
https://github.com/infiniflow/ragflow/issues/2496 ### What problem does this PR solve? _Briefly describe what this PR aims to solve. Include background context that will help reviewers understand the purpose of the PR._ ### Type of change - [ ] Bug Fix (non-breaking change which fixes an issue) - [ ] New Feature (non-breaking change which adds functionality) - [ ] Documentation Update - [x] Refactoring - [ ] Performance Improvement - [ ] Other (please describe):
720 lines
29 KiB
Python
720 lines
29 KiB
Python
import pathlib
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import re
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import datetime
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import json
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import traceback
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from flask import request
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from flask_login import login_required, current_user
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from elasticsearch_dsl import Q
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from rag.app.qa import rmPrefix, beAdoc
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from rag.nlp import search, rag_tokenizer, keyword_extraction
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from rag.utils.es_conn import ELASTICSEARCH
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from rag.utils import rmSpace
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from api.db import LLMType, ParserType
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from api.db.services.knowledgebase_service import KnowledgebaseService
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from api.db.services.llm_service import TenantLLMService
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from api.db.services.user_service import UserTenantService
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from api.utils.api_utils import server_error_response, get_data_error_result, validate_request
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from api.db.services.document_service import DocumentService
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from api.settings import RetCode, retrievaler, kg_retrievaler
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from api.utils.api_utils import get_json_result
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import hashlib
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import re
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from api.utils.api_utils import get_json_result, token_required, get_data_error_result
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from api.db.db_models import Task, File
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from api.db.services.task_service import TaskService, queue_tasks
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from api.db.services.user_service import TenantService, UserTenantService
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from api.utils.api_utils import server_error_response, get_data_error_result, validate_request
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from api.utils.api_utils import get_json_result
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from functools import partial
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from io import BytesIO
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from elasticsearch_dsl import Q
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from flask import request, send_file
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from flask_login import login_required
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from api.db import FileSource, TaskStatus, FileType
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from api.db.db_models import File
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from api.db.services.document_service import DocumentService
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from api.db.services.file2document_service import File2DocumentService
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from api.db.services.file_service import FileService
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from api.db.services.knowledgebase_service import KnowledgebaseService
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from api.settings import RetCode, retrievaler
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from api.utils.api_utils import construct_json_result, construct_error_response
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from rag.app import book, laws, manual, naive, one, paper, presentation, qa, resume, table, picture, audio, email
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from rag.nlp import search
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from rag.utils import rmSpace
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from rag.utils.es_conn import ELASTICSEARCH
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from rag.utils.storage_factory import STORAGE_IMPL
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MAXIMUM_OF_UPLOADING_FILES = 256
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MAXIMUM_OF_UPLOADING_FILES = 256
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@manager.route('/dataset/<dataset_id>/documents/upload', methods=['POST'])
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@token_required
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def upload(dataset_id, tenant_id):
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if 'file' not in request.files:
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return get_json_result(
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data=False, retmsg='No file part!', retcode=RetCode.ARGUMENT_ERROR)
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file_objs = request.files.getlist('file')
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for file_obj in file_objs:
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if file_obj.filename == '':
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return get_json_result(
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data=False, retmsg='No file selected!', retcode=RetCode.ARGUMENT_ERROR)
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e, kb = KnowledgebaseService.get_by_id(dataset_id)
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if not e:
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raise LookupError(f"Can't find the knowledgebase with ID {dataset_id}!")
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err, _ = FileService.upload_document(kb, file_objs, tenant_id)
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if err:
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return get_json_result(
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data=False, retmsg="\n".join(err), retcode=RetCode.SERVER_ERROR)
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return get_json_result(data=True)
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@manager.route('/infos', methods=['GET'])
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@token_required
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def docinfos(tenant_id):
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req = request.args
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if "id" not in req and "name" not in req:
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return get_data_error_result(
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retmsg="Id or name should be provided")
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doc_id=None
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if "id" in req:
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doc_id = req["id"]
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if "name" in req:
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doc_name = req["name"]
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doc_id = DocumentService.get_doc_id_by_doc_name(doc_name)
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e, doc = DocumentService.get_by_id(doc_id)
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#rename key's name
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key_mapping = {
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"chunk_num": "chunk_count",
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"kb_id": "knowledgebase_id",
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"token_num": "token_count",
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"parser_id":"parser_method",
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}
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renamed_doc = {}
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for key, value in doc.to_dict().items():
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new_key = key_mapping.get(key, key)
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renamed_doc[new_key] = value
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return get_json_result(data=renamed_doc)
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@manager.route('/save', methods=['POST'])
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@token_required
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def save_doc(tenant_id):
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req = request.json
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#get doc by id or name
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doc_id = None
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if "id" in req:
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doc_id = req["id"]
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elif "name" in req:
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doc_name = req["name"]
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doc_id = DocumentService.get_doc_id_by_doc_name(doc_name)
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if not doc_id:
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return get_json_result(retcode=400, retmsg="Document ID or name is required")
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e, doc = DocumentService.get_by_id(doc_id)
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if not e:
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return get_data_error_result(retmsg="Document not found!")
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#other value can't be changed
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if "chunk_count" in req:
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if req["chunk_count"] != doc.chunk_num:
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return get_data_error_result(
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retmsg="Can't change chunk_count.")
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if "token_count" in req:
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if req["token_count"] != doc.token_num:
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return get_data_error_result(
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retmsg="Can't change token_count.")
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if "progress" in req:
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if req['progress'] != doc.progress:
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return get_data_error_result(
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retmsg="Can't change progress.")
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#change name or parse_method
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if "name" in req and req["name"] != doc.name:
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try:
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if pathlib.Path(req["name"].lower()).suffix != pathlib.Path(
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doc.name.lower()).suffix:
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return get_json_result(
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data=False,
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retmsg="The extension of file can't be changed",
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retcode=RetCode.ARGUMENT_ERROR)
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for d in DocumentService.query(name=req["name"], kb_id=doc.kb_id):
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if d.name == req["name"]:
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return get_data_error_result(
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retmsg="Duplicated document name in the same knowledgebase.")
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if not DocumentService.update_by_id(
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doc_id, {"name": req["name"]}):
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return get_data_error_result(
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retmsg="Database error (Document rename)!")
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informs = File2DocumentService.get_by_document_id(doc_id)
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if informs:
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e, file = FileService.get_by_id(informs[0].file_id)
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FileService.update_by_id(file.id, {"name": req["name"]})
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except Exception as e:
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return server_error_response(e)
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if "parser_method" in req:
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try:
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if doc.parser_id.lower() == req["parser_method"].lower():
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if "parser_config" in req:
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if req["parser_config"] == doc.parser_config:
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return get_json_result(data=True)
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else:
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return get_json_result(data=True)
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if doc.type == FileType.VISUAL or re.search(
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r"\.(ppt|pptx|pages)$", doc.name):
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return get_data_error_result(retmsg="Not supported yet!")
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e = DocumentService.update_by_id(doc.id,
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{"parser_id": req["parser_method"], "progress": 0, "progress_msg": "",
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"run": TaskStatus.UNSTART.value})
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if not e:
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return get_data_error_result(retmsg="Document not found!")
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if "parser_config" in req:
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DocumentService.update_parser_config(doc.id, req["parser_config"])
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if doc.token_num > 0:
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e = DocumentService.increment_chunk_num(doc.id, doc.kb_id, doc.token_num * -1, doc.chunk_num * -1,
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doc.process_duation * -1)
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if not e:
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return get_data_error_result(retmsg="Document not found!")
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tenant_id = DocumentService.get_tenant_id(req["id"])
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if not tenant_id:
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return get_data_error_result(retmsg="Tenant not found!")
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ELASTICSEARCH.deleteByQuery(
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Q("match", doc_id=doc.id), idxnm=search.index_name(tenant_id))
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except Exception as e:
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return server_error_response(e)
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return get_json_result(data=True)
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@manager.route('/change_parser', methods=['POST'])
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@token_required
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def change_parser(tenant_id):
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req = request.json
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try:
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e, doc = DocumentService.get_by_id(req["doc_id"])
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if not e:
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return get_data_error_result(retmsg="Document not found!")
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if doc.parser_id.lower() == req["parser_id"].lower():
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if "parser_config" in req:
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if req["parser_config"] == doc.parser_config:
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return get_json_result(data=True)
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else:
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return get_json_result(data=True)
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if doc.type == FileType.VISUAL or re.search(
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r"\.(ppt|pptx|pages)$", doc.name):
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return get_data_error_result(retmsg="Not supported yet!")
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e = DocumentService.update_by_id(doc.id,
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{"parser_id": req["parser_id"], "progress": 0, "progress_msg": "",
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"run": TaskStatus.UNSTART.value})
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if not e:
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return get_data_error_result(retmsg="Document not found!")
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if "parser_config" in req:
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DocumentService.update_parser_config(doc.id, req["parser_config"])
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if doc.token_num > 0:
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e = DocumentService.increment_chunk_num(doc.id, doc.kb_id, doc.token_num * -1, doc.chunk_num * -1,
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doc.process_duation * -1)
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if not e:
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return get_data_error_result(retmsg="Document not found!")
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tenant_id = DocumentService.get_tenant_id(req["doc_id"])
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if not tenant_id:
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return get_data_error_result(retmsg="Tenant not found!")
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ELASTICSEARCH.deleteByQuery(
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Q("match", doc_id=doc.id), idxnm=search.index_name(tenant_id))
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return get_json_result(data=True)
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except Exception as e:
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return server_error_response(e)
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@manager.route('/rename', methods=['POST'])
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@login_required
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@validate_request("doc_id", "name")
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def rename():
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req = request.json
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try:
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e, doc = DocumentService.get_by_id(req["doc_id"])
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if not e:
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return get_data_error_result(retmsg="Document not found!")
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if pathlib.Path(req["name"].lower()).suffix != pathlib.Path(
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doc.name.lower()).suffix:
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return get_json_result(
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data=False,
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retmsg="The extension of file can't be changed",
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retcode=RetCode.ARGUMENT_ERROR)
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for d in DocumentService.query(name=req["name"], kb_id=doc.kb_id):
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if d.name == req["name"]:
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return get_data_error_result(
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retmsg="Duplicated document name in the same knowledgebase.")
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if not DocumentService.update_by_id(
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req["doc_id"], {"name": req["name"]}):
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return get_data_error_result(
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retmsg="Database error (Document rename)!")
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informs = File2DocumentService.get_by_document_id(req["doc_id"])
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if informs:
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e, file = FileService.get_by_id(informs[0].file_id)
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FileService.update_by_id(file.id, {"name": req["name"]})
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return get_json_result(data=True)
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except Exception as e:
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return server_error_response(e)
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@manager.route("/<document_id>", methods=["GET"])
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@token_required
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def download_document(document_id,tenant_id):
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try:
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# Check whether there is this document
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exist, document = DocumentService.get_by_id(document_id)
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if not exist:
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return construct_json_result(message=f"This document '{document_id}' cannot be found!",
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code=RetCode.ARGUMENT_ERROR)
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# The process of downloading
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doc_id, doc_location = File2DocumentService.get_storage_address(doc_id=document_id) # minio address
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file_stream = STORAGE_IMPL.get(doc_id, doc_location)
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if not file_stream:
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return construct_json_result(message="This file is empty.", code=RetCode.DATA_ERROR)
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file = BytesIO(file_stream)
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# Use send_file with a proper filename and MIME type
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return send_file(
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file,
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as_attachment=True,
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download_name=document.name,
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mimetype='application/octet-stream' # Set a default MIME type
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)
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# Error
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except Exception as e:
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return construct_error_response(e)
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@manager.route('/dataset/<dataset_id>/documents', methods=['GET'])
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@token_required
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def list_docs(dataset_id, tenant_id):
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kb_id = request.args.get("knowledgebase_id")
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if not kb_id:
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return get_json_result(
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data=False, retmsg='Lack of "KB ID"', retcode=RetCode.ARGUMENT_ERROR)
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tenants = UserTenantService.query(user_id=tenant_id)
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for tenant in tenants:
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if KnowledgebaseService.query(
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tenant_id=tenant.tenant_id, id=kb_id):
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break
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else:
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return get_json_result(
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data=False, retmsg=f'Only owner of knowledgebase authorized for this operation.',
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retcode=RetCode.OPERATING_ERROR)
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keywords = request.args.get("keywords", "")
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page_number = int(request.args.get("page", 1))
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items_per_page = int(request.args.get("page_size", 15))
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orderby = request.args.get("orderby", "create_time")
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desc = request.args.get("desc", True)
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try:
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docs, tol = DocumentService.get_by_kb_id(
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kb_id, page_number, items_per_page, orderby, desc, keywords)
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# rename key's name
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renamed_doc_list = []
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for doc in docs:
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key_mapping = {
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"chunk_num": "chunk_count",
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"kb_id": "knowledgebase_id",
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"token_num": "token_count",
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"parser_id":"parser_method"
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}
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renamed_doc = {}
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for key, value in doc.items():
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new_key = key_mapping.get(key, key)
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renamed_doc[new_key] = value
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renamed_doc_list.append(renamed_doc)
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return get_json_result(data={"total": tol, "docs": renamed_doc_list})
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except Exception as e:
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return server_error_response(e)
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@manager.route('/delete', methods=['DELETE'])
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@token_required
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def rm(tenant_id):
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req = request.args
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if "document_id" not in req:
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return get_data_error_result(
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retmsg="doc_id is required")
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doc_ids = req["document_id"]
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if isinstance(doc_ids, str): doc_ids = [doc_ids]
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root_folder = FileService.get_root_folder(tenant_id)
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pf_id = root_folder["id"]
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FileService.init_knowledgebase_docs(pf_id, tenant_id)
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errors = ""
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for doc_id in doc_ids:
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try:
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e, doc = DocumentService.get_by_id(doc_id)
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if not e:
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return get_data_error_result(retmsg="Document not found!")
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tenant_id = DocumentService.get_tenant_id(doc_id)
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if not tenant_id:
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return get_data_error_result(retmsg="Tenant not found!")
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b, n = File2DocumentService.get_storage_address(doc_id=doc_id)
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if not DocumentService.remove_document(doc, tenant_id):
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return get_data_error_result(
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retmsg="Database error (Document removal)!")
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f2d = File2DocumentService.get_by_document_id(doc_id)
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FileService.filter_delete([File.source_type == FileSource.KNOWLEDGEBASE, File.id == f2d[0].file_id])
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File2DocumentService.delete_by_document_id(doc_id)
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STORAGE_IMPL.rm(b, n)
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except Exception as e:
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errors += str(e)
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if errors:
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return get_json_result(data=False, retmsg=errors, retcode=RetCode.SERVER_ERROR)
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return get_json_result(data=True, retmsg="success")
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@manager.route("/<document_id>/status", methods=["GET"])
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@token_required
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def show_parsing_status(tenant_id, document_id):
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try:
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# valid document
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exist, _ = DocumentService.get_by_id(document_id)
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if not exist:
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return construct_json_result(code=RetCode.DATA_ERROR,
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message=f"This document: '{document_id}' is not a valid document.")
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_, doc = DocumentService.get_by_id(document_id) # get doc object
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doc_attributes = doc.to_dict()
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return construct_json_result(
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data={"progress": doc_attributes["progress"], "status": TaskStatus(doc_attributes["status"]).name},
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code=RetCode.SUCCESS
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)
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except Exception as e:
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return construct_error_response(e)
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@manager.route('/run', methods=['POST'])
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@token_required
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def run(tenant_id):
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req = request.json
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try:
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for id in req["document_ids"]:
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info = {"run": str(req["run"]), "progress": 0}
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if str(req["run"]) == TaskStatus.RUNNING.value:
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info["progress_msg"] = ""
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info["chunk_num"] = 0
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info["token_num"] = 0
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DocumentService.update_by_id(id, info)
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# if str(req["run"]) == TaskStatus.CANCEL.value:
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tenant_id = DocumentService.get_tenant_id(id)
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if not tenant_id:
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return get_data_error_result(retmsg="Tenant not found!")
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ELASTICSEARCH.deleteByQuery(
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Q("match", doc_id=id), idxnm=search.index_name(tenant_id))
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if str(req["run"]) == TaskStatus.RUNNING.value:
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TaskService.filter_delete([Task.doc_id == id])
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e, doc = DocumentService.get_by_id(id)
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doc = doc.to_dict()
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doc["tenant_id"] = tenant_id
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bucket, name = File2DocumentService.get_storage_address(doc_id=doc["id"])
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queue_tasks(doc, bucket, name)
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return get_json_result(data=True)
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except Exception as e:
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return server_error_response(e)
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@manager.route('/chunk/list', methods=['POST'])
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|
@token_required
|
|
@validate_request("document_id")
|
|
def list_chunk(tenant_id):
|
|
req = request.json
|
|
doc_id = req["document_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["document_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()}
|
|
|
|
origin_chunks=[]
|
|
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
|
|
|
|
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",
|
|
"img_id":"image_id",
|
|
}
|
|
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:
|
|
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("document_id", "content")
|
|
def create(tenant_id):
|
|
req = request.json
|
|
md5 = hashlib.md5()
|
|
md5.update((req["content"] + req["document_id"]).encode("utf-8"))
|
|
|
|
chunk_id = md5.hexdigest()
|
|
d = {"id": chunk_id, "content_ltks": rag_tokenizer.tokenize(req["content"]),
|
|
"content_with_weight": req["content"]}
|
|
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["document_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["document_id"])
|
|
if not tenant_id:
|
|
return get_data_error_result(retmsg="Tenant not found!")
|
|
|
|
embd_id = DocumentService.get_embd_id(req["document_id"])
|
|
embd_mdl = TenantLLMService.model_instance(
|
|
tenant_id, LLMType.EMBEDDING.value, embd_id)
|
|
|
|
v, c = embd_mdl.encode([doc.name, req["content"]])
|
|
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)
|
|
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":"dataset_id",
|
|
"create_timestamp_flt":"create_timestamp",
|
|
"create_time": "create_time",
|
|
"document_keyword":"document",
|
|
}
|
|
renamed_chunk = {}
|
|
for key, value in d.items():
|
|
if key in key_mapping:
|
|
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", "document_id")
|
|
def rm_chunk(tenant_id):
|
|
req = request.json
|
|
try:
|
|
if not ELASTICSEARCH.deleteByQuery(
|
|
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["document_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)
|
|
|
|
@manager.route('/chunk/set', methods=['POST'])
|
|
@token_required
|
|
@validate_request("document_id", "chunk_id", "content",
|
|
"important_keywords")
|
|
def set(tenant_id):
|
|
req = request.json
|
|
d = {
|
|
"id": req["chunk_id"],
|
|
"content_with_weight": req["content"]}
|
|
d["content_ltks"] = rag_tokenizer.tokenize(req["content"])
|
|
d["content_sm_ltks"] = rag_tokenizer.fine_grained_tokenize(d["content_ltks"])
|
|
d["important_kwd"] = req["important_keywords"]
|
|
d["important_tks"] = rag_tokenizer.tokenize(" ".join(req["important_keywords"]))
|
|
if "available_int" in req:
|
|
d["available_int"] = req["available_int"]
|
|
|
|
try:
|
|
tenant_id = DocumentService.get_tenant_id(req["document_id"])
|
|
if not tenant_id:
|
|
return get_data_error_result(retmsg="Tenant not found!")
|
|
|
|
embd_id = DocumentService.get_embd_id(req["document_id"])
|
|
embd_mdl = TenantLLMService.model_instance(
|
|
tenant_id, LLMType.EMBEDDING.value, embd_id)
|
|
|
|
e, doc = DocumentService.get_by_id(req["document_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"]) 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"]])
|
|
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("knowledgebase_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["knowledgebase_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",
|
|
"docnm_kwd":"document_keyword"
|
|
}
|
|
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) |