ragflow / api /apps /document_app.py
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#
# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License
#
import datetime
import hashlib
import json
import os
import pathlib
import re
import traceback
from concurrent.futures import ThreadPoolExecutor
from copy import deepcopy
from io import BytesIO
import flask
from elasticsearch_dsl import Q
from flask import request
from flask_login import login_required, current_user
from api.db.db_models import Task, File
from api.db.services.dialog_service import DialogService, ConversationService
from api.db.services.file2document_service import File2DocumentService
from api.db.services.file_service import FileService
from api.db.services.llm_service import LLMBundle
from api.db.services.task_service import TaskService, queue_tasks
from api.db.services.user_service import TenantService
from graphrag.mind_map_extractor import MindMapExtractor
from rag.app import naive
from rag.nlp import search
from rag.utils.es_conn import ELASTICSEARCH
from api.db.services import duplicate_name
from api.db.services.knowledgebase_service import KnowledgebaseService
from api.utils.api_utils import server_error_response, get_data_error_result, validate_request
from api.utils import get_uuid
from api.db import FileType, TaskStatus, ParserType, FileSource, LLMType
from api.db.services.document_service import DocumentService
from api.settings import RetCode, stat_logger
from api.utils.api_utils import get_json_result
from rag.utils.minio_conn import MINIO
from api.utils.file_utils import filename_type, thumbnail, get_project_base_directory
from api.utils.web_utils import html2pdf, is_valid_url
@manager.route('/upload', methods=['POST'])
@login_required
@validate_request("kb_id")
def upload():
kb_id = request.form.get("kb_id")
if not kb_id:
return get_json_result(
data=False, retmsg='Lack of "KB ID"', retcode=RetCode.ARGUMENT_ERROR)
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)
e, kb = KnowledgebaseService.get_by_id(kb_id)
if not e:
raise LookupError("Can't find this knowledgebase!")
err, _ = FileService.upload_document(kb, file_objs)
if err:
return get_json_result(
data=False, retmsg="\n".join(err), retcode=RetCode.SERVER_ERROR)
return get_json_result(data=True)
@manager.route('/web_crawl', methods=['POST'])
@login_required
@validate_request("kb_id", "name", "url")
def web_crawl():
kb_id = request.form.get("kb_id")
if not kb_id:
return get_json_result(
data=False, retmsg='Lack of "KB ID"', retcode=RetCode.ARGUMENT_ERROR)
name = request.form.get("name")
url = request.form.get("url")
if not is_valid_url(url):
return get_json_result(
data=False, retmsg='The URL format is invalid', retcode=RetCode.ARGUMENT_ERROR)
e, kb = KnowledgebaseService.get_by_id(kb_id)
if not e:
raise LookupError("Can't find this knowledgebase!")
blob = html2pdf(url)
if not blob: return server_error_response(ValueError("Download failure."))
root_folder = FileService.get_root_folder(current_user.id)
pf_id = root_folder["id"]
FileService.init_knowledgebase_docs(pf_id, current_user.id)
kb_root_folder = FileService.get_kb_folder(current_user.id)
kb_folder = FileService.new_a_file_from_kb(kb.tenant_id, kb.name, kb_root_folder["id"])
try:
filename = duplicate_name(
DocumentService.query,
name=name + ".pdf",
kb_id=kb.id)
filetype = filename_type(filename)
if filetype == FileType.OTHER.value:
raise RuntimeError("This type of file has not been supported yet!")
location = filename
while MINIO.obj_exist(kb_id, location):
location += "_"
MINIO.put(kb_id, location, blob)
doc = {
"id": get_uuid(),
"kb_id": kb.id,
"parser_id": kb.parser_id,
"parser_config": kb.parser_config,
"created_by": current_user.id,
"type": filetype,
"name": filename,
"location": location,
"size": len(blob),
"thumbnail": thumbnail(filename, blob)
}
if doc["type"] == FileType.VISUAL:
doc["parser_id"] = ParserType.PICTURE.value
if doc["type"] == FileType.AURAL:
doc["parser_id"] = ParserType.AUDIO.value
if re.search(r"\.(ppt|pptx|pages)$", filename):
doc["parser_id"] = ParserType.PRESENTATION.value
DocumentService.insert(doc)
FileService.add_file_from_kb(doc, kb_folder["id"], kb.tenant_id)
except Exception as e:
return server_error_response(e)
return get_json_result(data=True)
@manager.route('/create', methods=['POST'])
@login_required
@validate_request("name", "kb_id")
def create():
req = request.json
kb_id = req["kb_id"]
if not kb_id:
return get_json_result(
data=False, retmsg='Lack of "KB ID"', retcode=RetCode.ARGUMENT_ERROR)
try:
e, kb = KnowledgebaseService.get_by_id(kb_id)
if not e:
return get_data_error_result(
retmsg="Can't find this knowledgebase!")
if DocumentService.query(name=req["name"], kb_id=kb_id):
return get_data_error_result(
retmsg="Duplicated document name in the same knowledgebase.")
doc = DocumentService.insert({
"id": get_uuid(),
"kb_id": kb.id,
"parser_id": kb.parser_id,
"parser_config": kb.parser_config,
"created_by": current_user.id,
"type": FileType.VIRTUAL,
"name": req["name"],
"location": "",
"size": 0
})
return get_json_result(data=doc.to_json())
except Exception as e:
return server_error_response(e)
@manager.route('/list', methods=['GET'])
@login_required
def list_docs():
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)
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('/thumbnails', methods=['GET'])
@login_required
def thumbnails():
doc_ids = request.args.get("doc_ids").split(",")
if not doc_ids:
return get_json_result(
data=False, retmsg='Lack of "Document ID"', retcode=RetCode.ARGUMENT_ERROR)
try:
docs = DocumentService.get_thumbnails(doc_ids)
return get_json_result(data={d["id"]: d["thumbnail"] for d in docs})
except Exception as e:
return server_error_response(e)
@manager.route('/change_status', methods=['POST'])
@login_required
@validate_request("doc_id", "status")
def change_status():
req = request.json
if str(req["status"]) not in ["0", "1"]:
get_json_result(
data=False,
retmsg='"Status" must be either 0 or 1!',
retcode=RetCode.ARGUMENT_ERROR)
try:
e, doc = DocumentService.get_by_id(req["doc_id"])
if not e:
return get_data_error_result(retmsg="Document not found!")
e, kb = KnowledgebaseService.get_by_id(doc.kb_id)
if not e:
return get_data_error_result(
retmsg="Can't find this knowledgebase!")
if not DocumentService.update_by_id(
req["doc_id"], {"status": str(req["status"])}):
return get_data_error_result(
retmsg="Database error (Document update)!")
if str(req["status"]) == "0":
ELASTICSEARCH.updateScriptByQuery(Q("term", doc_id=req["doc_id"]),
scripts="ctx._source.available_int=0;",
idxnm=search.index_name(
kb.tenant_id)
)
else:
ELASTICSEARCH.updateScriptByQuery(Q("term", doc_id=req["doc_id"]),
scripts="ctx._source.available_int=1;",
idxnm=search.index_name(
kb.tenant_id)
)
return get_json_result(data=True)
except Exception as e:
return server_error_response(e)
@manager.route('/rm', methods=['POST'])
@login_required
@validate_request("doc_id")
def rm():
req = request.json
doc_ids = req["doc_id"]
if isinstance(doc_ids, str): doc_ids = [doc_ids]
root_folder = FileService.get_root_folder(current_user.id)
pf_id = root_folder["id"]
FileService.init_knowledgebase_docs(pf_id, current_user.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)
MINIO.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)
@manager.route('/run', methods=['POST'])
@login_required
@validate_request("doc_ids", "run")
def run():
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('/rename', methods=['POST'])
@login_required
@validate_request("doc_id", "name")
def rename():
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 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 server_error_response(e)
@manager.route('/get/<doc_id>', methods=['GET'])
# @login_required
def get(doc_id):
try:
e, doc = DocumentService.get_by_id(doc_id)
if not e:
return get_data_error_result(retmsg="Document not found!")
b, n = File2DocumentService.get_minio_address(doc_id=doc_id)
response = flask.make_response(MINIO.get(b, n))
ext = re.search(r"\.([^.]+)$", doc.name)
if ext:
if doc.type == FileType.VISUAL.value:
response.headers.set('Content-Type', 'image/%s' % ext.group(1))
else:
response.headers.set(
'Content-Type',
'application/%s' %
ext.group(1))
return response
except Exception as e:
return server_error_response(e)
@manager.route('/change_parser', methods=['POST'])
@login_required
@validate_request("doc_id", "parser_id")
def change_parser():
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('/image/<image_id>', methods=['GET'])
# @login_required
def get_image(image_id):
try:
bkt, nm = image_id.split("-")
response = flask.make_response(MINIO.get(bkt, nm))
response.headers.set('Content-Type', 'image/JPEG')
return response
except Exception as e:
return server_error_response(e)
@manager.route('/upload_and_parse', methods=['POST'])
@login_required
@validate_request("conversation_id")
def upload_and_parse():
req = request.json
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)
e, conv = ConversationService.get_by_id(req["conversation_id"])
if not e:
return get_data_error_result(retmsg="Conversation not found!")
e, dia = DialogService.get_by_id(conv.dialog_id)
kb_id = dia.kb_ids[0]
e, kb = KnowledgebaseService.get_by_id(kb_id)
if not e:
raise LookupError("Can't find this knowledgebase!")
idxnm = search.index_name(kb.tenant_id)
if not ELASTICSEARCH.indexExist(idxnm):
ELASTICSEARCH.createIdx(idxnm, json.load(
open(os.path.join(get_project_base_directory(), "conf", "mapping.json"), "r")))
embd_mdl = LLMBundle(kb.tenant_id, LLMType.EMBEDDING, llm_name=kb.embd_id, lang=kb.language)
err, files = FileService.upload_document(kb, file_objs)
if err:
return get_json_result(
data=False, retmsg="\n".join(err), retcode=RetCode.SERVER_ERROR)
def dummy(prog=None, msg=""):
pass
parser_config = {"chunk_token_num": 4096, "delimiter": "\n!?。;!?", "layout_recognize": False}
exe = ThreadPoolExecutor(max_workers=12)
threads = []
for d, blob in files:
kwargs = {
"callback": dummy,
"parser_config": parser_config,
"from_page": 0,
"to_page": 100000
}
threads.append(exe.submit(naive.chunk, d["name"], blob, **kwargs))
for (docinfo,_), th in zip(files, threads):
docs = []
doc = {
"doc_id": docinfo["id"],
"kb_id": [kb.id]
}
for ck in th.result():
d = deepcopy(doc)
d.update(ck)
md5 = hashlib.md5()
md5.update((ck["content_with_weight"] +
str(d["doc_id"])).encode("utf-8"))
d["_id"] = md5.hexdigest()
d["create_time"] = str(datetime.datetime.now()).replace("T", " ")[:19]
d["create_timestamp_flt"] = datetime.datetime.now().timestamp()
if not d.get("image"):
docs.append(d)
continue
output_buffer = BytesIO()
if isinstance(d["image"], bytes):
output_buffer = BytesIO(d["image"])
else:
d["image"].save(output_buffer, format='JPEG')
MINIO.put(kb.id, d["_id"], output_buffer.getvalue())
d["img_id"] = "{}-{}".format(kb.id, d["_id"])
del d["image"]
docs.append(d)
parser_ids = {d["id"]: d["parser_id"] for d, _ in files}
docids = [d["id"] for d, _ in files]
chunk_counts = {id: 0 for id in docids}
token_counts = {id: 0 for id in docids}
es_bulk_size = 64
def embedding(doc_id, cnts, batch_size=16):
nonlocal embd_mdl, chunk_counts, token_counts
vects = []
for i in range(0, len(cnts), batch_size):
vts, c = embd_mdl.encode(cnts[i: i + batch_size])
vects.extend(vts.tolist())
chunk_counts[doc_id] += len(cnts[i:i + batch_size])
token_counts[doc_id] += c
return vects
_, tenant = TenantService.get_by_id(kb.tenant_id)
llm_bdl = LLMBundle(kb.tenant_id, LLMType.CHAT, tenant.llm_id)
for doc_id in docids:
cks = [c for c in docs if c["doc_id"] == doc_id]
if parser_ids[doc_id] != ParserType.PICTURE.value:
mindmap = MindMapExtractor(llm_bdl)
try:
mind_map = json.dumps(mindmap([c["content_with_weight"] for c in docs if c["doc_id"] == doc_id]).output, ensure_ascii=False, indent=2)
if len(mind_map) < 32: raise Exception("Few content: "+mind_map)
cks.append({
"doc_id": doc_id,
"kb_id": [kb.id],
"content_with_weight": mind_map,
"knowledge_graph_kwd": "mind_map"
})
except Exception as e:
stat_logger.error("Mind map generation error:", traceback.format_exc())
vects = embedding(doc_id, cks)
assert len(cks) == len(vects)
for i, d in enumerate(cks):
v = vects[i]
d["q_%d_vec" % len(v)] = v
for b in range(0, len(cks), es_bulk_size):
ELASTICSEARCH.bulk(cks[b:b + es_bulk_size], idxnm)
DocumentService.increment_chunk_num(
doc_id, kb.id, token_counts[doc_id], chunk_counts[doc_id], 0)
return get_json_result(data=[d["id"] for d in files])