mirror of
https://git.mirrors.martin98.com/https://github.com/infiniflow/ragflow.git
synced 2025-04-21 21:50:02 +08:00
remove unused codes, seperate layout detection out as a new api. Add new rag methed 'table' (#55)
This commit is contained in:
parent
f305776217
commit
407b2523b6
@ -28,8 +28,6 @@ from api.utils import CustomJSONEncoder
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from flask_session import Session
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from flask_login import LoginManager
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from api.settings import RetCode, SECRET_KEY, stat_logger
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from api.hook import HookManager
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from api.hook.common.parameters import AuthenticationParameters, ClientAuthenticationParameters
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from api.settings import API_VERSION, CLIENT_AUTHENTICATION, SITE_AUTHENTICATION, access_logger
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from api.utils.api_utils import get_json_result, server_error_response
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from itsdangerous.url_safe import URLSafeTimedSerializer as Serializer
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@ -96,37 +94,7 @@ client_urls_prefix = [
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]
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def client_authentication_before_request():
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result = HookManager.client_authentication(ClientAuthenticationParameters(
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request.full_path, request.headers,
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request.form, request.data, request.json,
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))
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if result.code != RetCode.SUCCESS:
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return get_json_result(result.code, result.message)
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def site_authentication_before_request():
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for url_prefix in client_urls_prefix:
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if request.path.startswith(url_prefix):
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return
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result = HookManager.site_authentication(AuthenticationParameters(
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request.headers.get('site_signature'),
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request.json,
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))
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if result.code != RetCode.SUCCESS:
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return get_json_result(result.code, result.message)
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@app.before_request
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def authentication_before_request():
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if CLIENT_AUTHENTICATION:
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return client_authentication_before_request()
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if SITE_AUTHENTICATION:
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return site_authentication_before_request()
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@login_manager.request_loader
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def load_user(web_request):
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@ -57,7 +57,7 @@ def list():
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for id in sres.ids:
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d = {
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"chunk_id": id,
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"content_ltks": rmSpace(sres.highlight[id]) if question else sres.field[id]["content_ltks"],
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"content_with_weight": rmSpace(sres.highlight[id]) if question else sres.field[id]["content_with_weight"],
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"doc_id": sres.field[id]["doc_id"],
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"docnm_kwd": sres.field[id]["docnm_kwd"],
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"important_kwd": sres.field[id].get("important_kwd", []),
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@ -134,7 +134,7 @@ def set():
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q, a = rmPrefix(arr[0]), rmPrefix[arr[1]]
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d = beAdoc(d, arr[0], arr[1], not any([huqie.is_chinese(t) for t in q+a]))
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v, c = embd_mdl.encode([doc.name, req["content_ltks"]])
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v, c = embd_mdl.encode([doc.name, req["content_with_weight"]])
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v = 0.1 * v[0] + 0.9 * v[1] if doc.parser_id != ParserType.QA else v[1]
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d["q_%d_vec" % len(v)] = v.tolist()
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ELASTICSEARCH.upsert([d], search.index_name(tenant_id))
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@ -175,13 +175,13 @@ def rm():
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@manager.route('/create', methods=['POST'])
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@login_required
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@validate_request("doc_id", "content_ltks")
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@validate_request("doc_id", "content_with_weight")
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def create():
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req = request.json
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md5 = hashlib.md5()
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md5.update((req["content_ltks"] + req["doc_id"]).encode("utf-8"))
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md5.update((req["content_with_weight"] + req["doc_id"]).encode("utf-8"))
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chunck_id = md5.hexdigest()
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d = {"id": chunck_id, "content_ltks": huqie.qie(req["content_ltks"])}
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d = {"id": chunck_id, "content_ltks": huqie.qie(req["content_with_weight"])}
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d["content_sm_ltks"] = huqie.qieqie(d["content_ltks"])
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d["important_kwd"] = req.get("important_kwd", [])
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d["important_tks"] = huqie.qie(" ".join(req.get("important_kwd", [])))
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@ -201,7 +201,7 @@ def create():
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embd_mdl = TenantLLMService.model_instance(
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tenant_id, LLMType.EMBEDDING.value)
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v, c = embd_mdl.encode([doc.name, req["content_ltks"]])
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v, c = embd_mdl.encode([doc.name, req["content_with_weight"]])
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DocumentService.increment_chunk_num(req["doc_id"], doc.kb_id, c, 1, 0)
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v = 0.1 * v[0] + 0.9 * v[1]
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d["q_%d_vec" % len(v)] = v.tolist()
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@ -175,7 +175,7 @@ def chat(dialog, messages, **kwargs):
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chat_mdl = LLMBundle(dialog.tenant_id, LLMType.CHAT, dialog.llm_id)
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kbinfos = retrievaler.retrieval(question, embd_mdl, dialog.tenant_id, dialog.kb_ids, 1, dialog.top_n, dialog.similarity_threshold,
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dialog.vector_similarity_weight, top=1024, aggs=False)
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knowledges = [ck["content_ltks"] for ck in kbinfos["chunks"]]
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knowledges = [ck["content_with_weight"] for ck in kbinfos["chunks"]]
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if not knowledges and prompt_config["empty_response"]:
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return {"answer": prompt_config["empty_response"], "retrieval": kbinfos}
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@ -73,6 +73,7 @@ def upload():
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"id": get_uuid(),
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"kb_id": kb.id,
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"parser_id": kb.parser_id,
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"parser_config": kb.parser_config,
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"created_by": current_user.id,
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"type": filename_type(filename),
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"name": filename,
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@ -108,6 +109,7 @@ def create():
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"id": get_uuid(),
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"kb_id": kb.id,
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"parser_id": kb.parser_id,
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"parser_config": kb.parser_config,
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"created_by": current_user.id,
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"type": FileType.VIRTUAL,
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"name": req["name"],
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@ -128,8 +130,8 @@ def list():
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data=False, retmsg='Lack of "KB ID"', retcode=RetCode.ARGUMENT_ERROR)
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keywords = request.args.get("keywords", "")
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page_number = request.args.get("page", 1)
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items_per_page = request.args.get("page_size", 15)
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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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@ -214,7 +216,9 @@ def run():
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req = request.json
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try:
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for id in req["doc_ids"]:
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DocumentService.update_by_id(id, {"run": str(req["run"]), "progress": 0})
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info = {"run": str(req["run"]), "progress": 0}
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if str(req["run"]) == TaskStatus.RUNNING.value:info["progress_msg"] = ""
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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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@ -29,7 +29,7 @@ from api.utils.api_utils import get_json_result
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@manager.route('/create', methods=['post'])
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@login_required
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@validate_request("name", "description", "permission", "parser_id")
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@validate_request("name")
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def create():
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req = request.json
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req["name"] = req["name"].strip()
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@ -77,3 +77,4 @@ class ParserType(StrEnum):
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RESUME = "resume"
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BOOK = "book"
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QA = "qa"
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TABLE = "table"
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@ -29,7 +29,7 @@ from peewee import (
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)
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from playhouse.pool import PooledMySQLDatabase
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from api.db import SerializedType
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from api.db import SerializedType, ParserType
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from api.settings import DATABASE, stat_logger, SECRET_KEY
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from api.utils.log_utils import getLogger
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from api import utils
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@ -381,7 +381,8 @@ class Tenant(DataBaseModel):
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embd_id = CharField(max_length=128, null=False, help_text="default embedding model ID")
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asr_id = CharField(max_length=128, null=False, help_text="default ASR model ID")
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img2txt_id = CharField(max_length=128, null=False, help_text="default image to text model ID")
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parser_ids = CharField(max_length=128, null=False, help_text="default image to text model ID")
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parser_ids = CharField(max_length=128, null=False, help_text="document processors")
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credit = IntegerField(default=512)
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status = CharField(max_length=1, null=True, help_text="is it validate(0: wasted,1: validate)", default="1")
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class Meta:
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@ -472,7 +473,8 @@ class Knowledgebase(DataBaseModel):
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similarity_threshold = FloatField(default=0.2)
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vector_similarity_weight = FloatField(default=0.3)
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parser_id = CharField(max_length=32, null=False, help_text="default parser ID")
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parser_id = CharField(max_length=32, null=False, help_text="default parser ID", default=ParserType.GENERAL.value)
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parser_config = JSONField(null=False, default={"from_page":0, "to_page": 100000})
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status = CharField(max_length=1, null=True, help_text="is it validate(0: wasted,1: validate)", default="1")
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def __str__(self):
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@ -487,6 +489,7 @@ class Document(DataBaseModel):
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thumbnail = TextField(null=True, help_text="thumbnail base64 string")
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kb_id = CharField(max_length=256, null=False, index=True)
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parser_id = CharField(max_length=32, null=False, help_text="default parser ID")
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parser_config = JSONField(null=False, default={"from_page":0, "to_page": 100000})
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source_type = CharField(max_length=128, null=False, default="local", help_text="where dose this document from")
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type = CharField(max_length=32, null=False, help_text="file extension")
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created_by = CharField(max_length=32, null=False, help_text="who created it")
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@ -1,157 +0,0 @@
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#
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# Copyright 2021 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import abc
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import json
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import time
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from functools import wraps
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from shortuuid import ShortUUID
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from api.versions import get_rag_version
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from api.errors.error_services import *
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from api.settings import (
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GRPC_PORT, HOST, HTTP_PORT,
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RANDOM_INSTANCE_ID, stat_logger,
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)
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instance_id = ShortUUID().random(length=8) if RANDOM_INSTANCE_ID else f'flow-{HOST}-{HTTP_PORT}'
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server_instance = (
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f'{HOST}:{GRPC_PORT}',
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json.dumps({
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'instance_id': instance_id,
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'timestamp': round(time.time() * 1000),
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'version': get_rag_version() or '',
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'host': HOST,
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'grpc_port': GRPC_PORT,
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'http_port': HTTP_PORT,
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}),
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)
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def check_service_supported(method):
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"""Decorator to check if `service_name` is supported.
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The attribute `supported_services` MUST be defined in class.
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The first and second arguments of `method` MUST be `self` and `service_name`.
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:param Callable method: The class method.
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:return: The inner wrapper function.
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:rtype: Callable
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"""
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@wraps(method)
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def magic(self, service_name, *args, **kwargs):
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if service_name not in self.supported_services:
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raise ServiceNotSupported(service_name=service_name)
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return method(self, service_name, *args, **kwargs)
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return magic
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class ServicesDB(abc.ABC):
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"""Database for storage service urls.
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Abstract base class for the real backends.
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"""
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@property
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@abc.abstractmethod
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def supported_services(self):
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"""The names of supported services.
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The returned list SHOULD contain `ragflow` (model download) and `servings` (RAG-Serving).
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:return: The service names.
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:rtype: list
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"""
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pass
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@abc.abstractmethod
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def _get_serving(self):
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pass
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def get_serving(self):
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try:
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return self._get_serving()
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except ServicesError as e:
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stat_logger.exception(e)
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return []
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@abc.abstractmethod
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def _insert(self, service_name, service_url, value=''):
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pass
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@check_service_supported
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def insert(self, service_name, service_url, value=''):
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"""Insert a service url to database.
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:param str service_name: The service name.
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:param str service_url: The service url.
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:return: None
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"""
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try:
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self._insert(service_name, service_url, value)
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except ServicesError as e:
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stat_logger.exception(e)
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@abc.abstractmethod
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def _delete(self, service_name, service_url):
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pass
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@check_service_supported
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def delete(self, service_name, service_url):
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"""Delete a service url from database.
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:param str service_name: The service name.
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:param str service_url: The service url.
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:return: None
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"""
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try:
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self._delete(service_name, service_url)
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except ServicesError as e:
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stat_logger.exception(e)
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def register_flow(self):
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"""Call `self.insert` for insert the flow server address to databae.
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:return: None
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"""
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self.insert('flow-server', *server_instance)
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def unregister_flow(self):
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"""Call `self.delete` for delete the flow server address from databae.
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:return: None
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"""
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self.delete('flow-server', server_instance[0])
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@abc.abstractmethod
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def _get_urls(self, service_name, with_values=False):
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pass
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@check_service_supported
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def get_urls(self, service_name, with_values=False):
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"""Query service urls from database. The urls may belong to other nodes.
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Currently, only `ragflow` (model download) urls and `servings` (RAG-Serving) urls are supported.
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`ragflow` is a url containing scheme, host, port and path,
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while `servings` only contains host and port.
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:param str service_name: The service name.
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:return: The service urls.
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:rtype: list
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"""
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try:
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return self._get_urls(service_name, with_values)
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except ServicesError as e:
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stat_logger.exception(e)
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return []
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@ -63,7 +63,7 @@ class DocumentService(CommonService):
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@classmethod
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@DB.connection_context()
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def get_newly_uploaded(cls, tm, mod=0, comm=1, items_per_page=64):
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fields = [cls.model.id, cls.model.kb_id, cls.model.parser_id, cls.model.name, cls.model.type, cls.model.location, cls.model.size, Knowledgebase.tenant_id, Tenant.embd_id, Tenant.img2txt_id, Tenant.asr_id, cls.model.update_time]
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fields = [cls.model.id, cls.model.kb_id, cls.model.parser_id, cls.model.parser_config, cls.model.name, cls.model.type, cls.model.location, cls.model.size, Knowledgebase.tenant_id, Tenant.embd_id, Tenant.img2txt_id, Tenant.asr_id, cls.model.update_time]
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docs = cls.model.select(*fields) \
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.join(Knowledgebase, on=(cls.model.kb_id == Knowledgebase.id)) \
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.join(Tenant, on=(Knowledgebase.tenant_id == Tenant.id))\
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@ -52,7 +52,8 @@ class KnowledgebaseService(CommonService):
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cls.model.doc_num,
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cls.model.token_num,
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cls.model.chunk_num,
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cls.model.parser_id]
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cls.model.parser_id,
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cls.model.parser_config]
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kbs = cls.model.select(*fields).join(Tenant, on=((Tenant.id == cls.model.tenant_id)&(Tenant.status== StatusEnum.VALID.value))).where(
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(cls.model.id == kb_id),
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(cls.model.status == StatusEnum.VALID.value)
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@ -27,7 +27,7 @@ class TaskService(CommonService):
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@classmethod
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@DB.connection_context()
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def get_tasks(cls, tm, mod=0, comm=1, items_per_page=64):
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fields = [cls.model.id, cls.model.doc_id, cls.model.from_page,cls.model.to_page, Document.kb_id, Document.parser_id, Document.name, Document.type, Document.location, Document.size, Knowledgebase.tenant_id, Tenant.embd_id, Tenant.img2txt_id, Tenant.asr_id, cls.model.update_time]
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fields = [cls.model.id, cls.model.doc_id, cls.model.from_page,cls.model.to_page, Document.kb_id, Document.parser_id, Document.parser_config, Document.name, Document.type, Document.location, Document.size, Knowledgebase.tenant_id, Tenant.embd_id, Tenant.img2txt_id, Tenant.asr_id, cls.model.update_time]
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docs = cls.model.select(*fields) \
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.join(Document, on=(cls.model.doc_id == Document.id)) \
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.join(Knowledgebase, on=(Document.kb_id == Knowledgebase.id)) \
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@ -53,3 +53,13 @@ class TaskService(CommonService):
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except Exception as e:
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pass
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return True
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@classmethod
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@DB.connection_context()
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def update_progress(cls, id, info):
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cls.model.update(progress_msg=cls.model.progress_msg + "\n"+info["progress_msg"]).where(
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cls.model.id == id).execute()
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if "progress" in info:
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cls.model.update(progress=info["progress"]).where(
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cls.model.id == id).execute()
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@ -92,6 +92,12 @@ class TenantService(CommonService):
|
||||
.join(UserTenant, on=((cls.model.id == UserTenant.tenant_id) & (UserTenant.user_id==user_id) & (UserTenant.status == StatusEnum.VALID.value) & (UserTenant.role==UserTenantRole.NORMAL.value)))\
|
||||
.where(cls.model.status == StatusEnum.VALID.value).dicts())
|
||||
|
||||
@classmethod
|
||||
@DB.connection_context()
|
||||
def decrease(cls, user_id, num):
|
||||
num = cls.model.update(credit=cls.model.credit - num).where(
|
||||
cls.model.id == user_id).execute()
|
||||
if num == 0: raise LookupError("Tenant not found which is supposed to be there")
|
||||
|
||||
class UserTenantService(CommonService):
|
||||
model = UserTenant
|
||||
|
@ -1,10 +0,0 @@
|
||||
from .general_error import *
|
||||
|
||||
|
||||
class RagFlowError(Exception):
|
||||
message = 'Unknown Rag Flow Error'
|
||||
|
||||
def __init__(self, message=None, *args, **kwargs):
|
||||
message = str(message) if message is not None else self.message
|
||||
message = message.format(*args, **kwargs)
|
||||
super().__init__(message)
|
@ -1,13 +0,0 @@
|
||||
from api.errors import RagFlowError
|
||||
|
||||
__all__ = ['ServicesError', 'ServiceNotSupported', 'ZooKeeperNotConfigured',
|
||||
'MissingZooKeeperUsernameOrPassword', 'ZooKeeperBackendError']
|
||||
|
||||
|
||||
class ServicesError(RagFlowError):
|
||||
message = 'Unknown services error'
|
||||
|
||||
|
||||
class ServiceNotSupported(ServicesError):
|
||||
message = 'The service {service_name} is not supported'
|
||||
|
@ -1,21 +0,0 @@
|
||||
#
|
||||
# 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.
|
||||
#
|
||||
class ParameterError(Exception):
|
||||
pass
|
||||
|
||||
|
||||
class PassError(Exception):
|
||||
pass
|
@ -1,57 +0,0 @@
|
||||
import importlib
|
||||
|
||||
from api.hook.common.parameters import SignatureParameters, AuthenticationParameters, \
|
||||
SignatureReturn, AuthenticationReturn, PermissionReturn, ClientAuthenticationReturn, ClientAuthenticationParameters
|
||||
from api.settings import HOOK_MODULE, stat_logger,RetCode
|
||||
|
||||
|
||||
class HookManager:
|
||||
SITE_SIGNATURE = []
|
||||
SITE_AUTHENTICATION = []
|
||||
CLIENT_AUTHENTICATION = []
|
||||
PERMISSION_CHECK = []
|
||||
|
||||
@staticmethod
|
||||
def init():
|
||||
if HOOK_MODULE is not None:
|
||||
for modules in HOOK_MODULE.values():
|
||||
for module in modules.split(";"):
|
||||
try:
|
||||
importlib.import_module(module)
|
||||
except Exception as e:
|
||||
stat_logger.exception(e)
|
||||
|
||||
@staticmethod
|
||||
def register_site_signature_hook(func):
|
||||
HookManager.SITE_SIGNATURE.append(func)
|
||||
|
||||
@staticmethod
|
||||
def register_site_authentication_hook(func):
|
||||
HookManager.SITE_AUTHENTICATION.append(func)
|
||||
|
||||
@staticmethod
|
||||
def register_client_authentication_hook(func):
|
||||
HookManager.CLIENT_AUTHENTICATION.append(func)
|
||||
|
||||
@staticmethod
|
||||
def register_permission_check_hook(func):
|
||||
HookManager.PERMISSION_CHECK.append(func)
|
||||
|
||||
@staticmethod
|
||||
def client_authentication(parm: ClientAuthenticationParameters) -> ClientAuthenticationReturn:
|
||||
if HookManager.CLIENT_AUTHENTICATION:
|
||||
return HookManager.CLIENT_AUTHENTICATION[0](parm)
|
||||
return ClientAuthenticationReturn()
|
||||
|
||||
@staticmethod
|
||||
def site_signature(parm: SignatureParameters) -> SignatureReturn:
|
||||
if HookManager.SITE_SIGNATURE:
|
||||
return HookManager.SITE_SIGNATURE[0](parm)
|
||||
return SignatureReturn()
|
||||
|
||||
@staticmethod
|
||||
def site_authentication(parm: AuthenticationParameters) -> AuthenticationReturn:
|
||||
if HookManager.SITE_AUTHENTICATION:
|
||||
return HookManager.SITE_AUTHENTICATION[0](parm)
|
||||
return AuthenticationReturn()
|
||||
|
@ -1,29 +0,0 @@
|
||||
import requests
|
||||
|
||||
from api.db.service_registry import ServiceRegistry
|
||||
from api.settings import RegistryServiceName
|
||||
from api.hook import HookManager
|
||||
from api.hook.common.parameters import ClientAuthenticationParameters, ClientAuthenticationReturn
|
||||
from api.settings import HOOK_SERVER_NAME
|
||||
|
||||
|
||||
@HookManager.register_client_authentication_hook
|
||||
def authentication(parm: ClientAuthenticationParameters) -> ClientAuthenticationReturn:
|
||||
service_list = ServiceRegistry.load_service(
|
||||
server_name=HOOK_SERVER_NAME,
|
||||
service_name=RegistryServiceName.CLIENT_AUTHENTICATION.value
|
||||
)
|
||||
if not service_list:
|
||||
raise Exception(f"client authentication error: no found server"
|
||||
f" {HOOK_SERVER_NAME} service client_authentication")
|
||||
service = service_list[0]
|
||||
response = getattr(requests, service.f_method.lower(), None)(
|
||||
url=service.f_url,
|
||||
json=parm.to_dict()
|
||||
)
|
||||
if response.status_code != 200:
|
||||
raise Exception(
|
||||
f"client authentication error: request authentication url failed, status code {response.status_code}")
|
||||
elif response.json().get("code") != 0:
|
||||
return ClientAuthenticationReturn(code=response.json().get("code"), message=response.json().get("msg"))
|
||||
return ClientAuthenticationReturn()
|
@ -1,25 +0,0 @@
|
||||
import requests
|
||||
|
||||
from api.db.service_registry import ServiceRegistry
|
||||
from api.settings import RegistryServiceName
|
||||
from api.hook import HookManager
|
||||
from api.hook.common.parameters import PermissionCheckParameters, PermissionReturn
|
||||
from api.settings import HOOK_SERVER_NAME
|
||||
|
||||
|
||||
@HookManager.register_permission_check_hook
|
||||
def permission(parm: PermissionCheckParameters) -> PermissionReturn:
|
||||
service_list = ServiceRegistry.load_service(server_name=HOOK_SERVER_NAME, service_name=RegistryServiceName.PERMISSION_CHECK.value)
|
||||
if not service_list:
|
||||
raise Exception(f"permission check error: no found server {HOOK_SERVER_NAME} service permission")
|
||||
service = service_list[0]
|
||||
response = getattr(requests, service.f_method.lower(), None)(
|
||||
url=service.f_url,
|
||||
json=parm.to_dict()
|
||||
)
|
||||
if response.status_code != 200:
|
||||
raise Exception(
|
||||
f"permission check error: request permission url failed, status code {response.status_code}")
|
||||
elif response.json().get("code") != 0:
|
||||
return PermissionReturn(code=response.json().get("code"), message=response.json().get("msg"))
|
||||
return PermissionReturn()
|
@ -1,49 +0,0 @@
|
||||
import requests
|
||||
|
||||
from api.db.service_registry import ServiceRegistry
|
||||
from api.settings import RegistryServiceName
|
||||
from api.hook import HookManager
|
||||
from api.hook.common.parameters import SignatureParameters, AuthenticationParameters, AuthenticationReturn,\
|
||||
SignatureReturn
|
||||
from api.settings import HOOK_SERVER_NAME, PARTY_ID
|
||||
|
||||
|
||||
@HookManager.register_site_signature_hook
|
||||
def signature(parm: SignatureParameters) -> SignatureReturn:
|
||||
service_list = ServiceRegistry.load_service(server_name=HOOK_SERVER_NAME, service_name=RegistryServiceName.SIGNATURE.value)
|
||||
if not service_list:
|
||||
raise Exception(f"signature error: no found server {HOOK_SERVER_NAME} service signature")
|
||||
service = service_list[0]
|
||||
response = getattr(requests, service.f_method.lower(), None)(
|
||||
url=service.f_url,
|
||||
json=parm.to_dict()
|
||||
)
|
||||
if response.status_code == 200:
|
||||
if response.json().get("code") == 0:
|
||||
return SignatureReturn(site_signature=response.json().get("data"))
|
||||
else:
|
||||
raise Exception(f"signature error: request signature url failed, result: {response.json()}")
|
||||
else:
|
||||
raise Exception(f"signature error: request signature url failed, status code {response.status_code}")
|
||||
|
||||
|
||||
@HookManager.register_site_authentication_hook
|
||||
def authentication(parm: AuthenticationParameters) -> AuthenticationReturn:
|
||||
if not parm.src_party_id or str(parm.src_party_id) == "0":
|
||||
parm.src_party_id = PARTY_ID
|
||||
service_list = ServiceRegistry.load_service(server_name=HOOK_SERVER_NAME,
|
||||
service_name=RegistryServiceName.SITE_AUTHENTICATION.value)
|
||||
if not service_list:
|
||||
raise Exception(
|
||||
f"site authentication error: no found server {HOOK_SERVER_NAME} service site_authentication")
|
||||
service = service_list[0]
|
||||
response = getattr(requests, service.f_method.lower(), None)(
|
||||
url=service.f_url,
|
||||
json=parm.to_dict()
|
||||
)
|
||||
if response.status_code != 200:
|
||||
raise Exception(
|
||||
f"site authentication error: request site_authentication url failed, status code {response.status_code}")
|
||||
elif response.json().get("code") != 0:
|
||||
return AuthenticationReturn(code=response.json().get("code"), message=response.json().get("msg"))
|
||||
return AuthenticationReturn()
|
@ -1,56 +0,0 @@
|
||||
from api.settings import RetCode
|
||||
|
||||
|
||||
class ParametersBase:
|
||||
def to_dict(self):
|
||||
d = {}
|
||||
for k, v in self.__dict__.items():
|
||||
d[k] = v
|
||||
return d
|
||||
|
||||
|
||||
class ClientAuthenticationParameters(ParametersBase):
|
||||
def __init__(self, full_path, headers, form, data, json):
|
||||
self.full_path = full_path
|
||||
self.headers = headers
|
||||
self.form = form
|
||||
self.data = data
|
||||
self.json = json
|
||||
|
||||
|
||||
class ClientAuthenticationReturn(ParametersBase):
|
||||
def __init__(self, code=RetCode.SUCCESS, message="success"):
|
||||
self.code = code
|
||||
self.message = message
|
||||
|
||||
|
||||
class SignatureParameters(ParametersBase):
|
||||
def __init__(self, party_id, body):
|
||||
self.party_id = party_id
|
||||
self.body = body
|
||||
|
||||
|
||||
class SignatureReturn(ParametersBase):
|
||||
def __init__(self, code=RetCode.SUCCESS, site_signature=None):
|
||||
self.code = code
|
||||
self.site_signature = site_signature
|
||||
|
||||
|
||||
class AuthenticationParameters(ParametersBase):
|
||||
def __init__(self, site_signature, body):
|
||||
self.site_signature = site_signature
|
||||
self.body = body
|
||||
|
||||
|
||||
class AuthenticationReturn(ParametersBase):
|
||||
def __init__(self, code=RetCode.SUCCESS, message="success"):
|
||||
self.code = code
|
||||
self.message = message
|
||||
|
||||
|
||||
class PermissionReturn(ParametersBase):
|
||||
def __init__(self, code=RetCode.SUCCESS, message="success"):
|
||||
self.code = code
|
||||
self.message = message
|
||||
|
||||
|
@ -20,12 +20,9 @@ import os
|
||||
import signal
|
||||
import sys
|
||||
import traceback
|
||||
|
||||
from werkzeug.serving import run_simple
|
||||
|
||||
from api.apps import app
|
||||
from api.db.runtime_config import RuntimeConfig
|
||||
from api.hook import HookManager
|
||||
from api.settings import (
|
||||
HOST, HTTP_PORT, access_logger, database_logger, stat_logger,
|
||||
)
|
||||
@ -60,8 +57,6 @@ if __name__ == '__main__':
|
||||
RuntimeConfig.init_env()
|
||||
RuntimeConfig.init_config(JOB_SERVER_HOST=HOST, HTTP_PORT=HTTP_PORT)
|
||||
|
||||
HookManager.init()
|
||||
|
||||
peewee_logger = logging.getLogger('peewee')
|
||||
peewee_logger.propagate = False
|
||||
# rag_arch.common.log.ROpenHandler
|
||||
|
@ -47,7 +47,7 @@ LLM = get_base_config("llm", {})
|
||||
CHAT_MDL = LLM.get("chat_model", "gpt-3.5-turbo")
|
||||
EMBEDDING_MDL = LLM.get("embedding_model", "text-embedding-ada-002")
|
||||
ASR_MDL = LLM.get("asr_model", "whisper-1")
|
||||
PARSERS = LLM.get("parsers", "General,Resume,Laws,Product Instructions,Books,Paper,Q&A,Programming Code,Power Point,Research Report")
|
||||
PARSERS = LLM.get("parsers", "general:General,resume:esume,laws:Laws,manual:Manual,book:Book,paper:Paper,qa:Q&A,presentation:Presentation")
|
||||
IMAGE2TEXT_MDL = LLM.get("image2text_model", "gpt-4-vision-preview")
|
||||
|
||||
# distribution
|
||||
|
@ -3,7 +3,7 @@ import random
|
||||
import re
|
||||
import numpy as np
|
||||
from rag.parser import bullets_category, BULLET_PATTERN, is_english, tokenize, remove_contents_table, \
|
||||
hierarchical_merge, make_colon_as_title, naive_merge
|
||||
hierarchical_merge, make_colon_as_title, naive_merge, random_choices
|
||||
from rag.nlp import huqie
|
||||
from rag.parser.docx_parser import HuDocxParser
|
||||
from rag.parser.pdf_parser import HuParser
|
||||
@ -51,7 +51,7 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, callback=None, **k
|
||||
doc_parser = HuDocxParser()
|
||||
# TODO: table of contents need to be removed
|
||||
sections, tbls = doc_parser(binary if binary else filename, from_page=from_page, to_page=to_page)
|
||||
remove_contents_table(sections, eng=is_english(random.choices([t for t,_ in sections], k=200)))
|
||||
remove_contents_table(sections, eng=is_english(random_choices([t for t,_ in sections], k=200)))
|
||||
callback(0.8, "Finish parsing.")
|
||||
elif re.search(r"\.pdf$", filename, re.IGNORECASE):
|
||||
pdf_parser = Pdf()
|
||||
@ -67,20 +67,20 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, callback=None, **k
|
||||
l = f.readline()
|
||||
if not l:break
|
||||
txt += l
|
||||
sections = txt.split("\n")
|
||||
sections = txt.split("\n")
|
||||
sections = [(l,"") for l in sections if l]
|
||||
remove_contents_table(sections, eng = is_english(random.choices([t for t,_ in sections], k=200)))
|
||||
remove_contents_table(sections, eng = is_english(random_choices([t for t,_ in sections], k=200)))
|
||||
callback(0.8, "Finish parsing.")
|
||||
else: raise NotImplementedError("file type not supported yet(docx, pdf, txt supported)")
|
||||
|
||||
make_colon_as_title(sections)
|
||||
bull = bullets_category([t for t in random.choices([t for t,_ in sections], k=100)])
|
||||
bull = bullets_category([t for t in random_choices([t for t,_ in sections], k=100)])
|
||||
if bull >= 0: cks = hierarchical_merge(bull, sections, 3)
|
||||
else: cks = naive_merge(sections, kwargs.get("chunk_token_num", 256), kwargs.get("delimer", "\n。;!?"))
|
||||
|
||||
sections = [t for t, _ in sections]
|
||||
# is it English
|
||||
eng = is_english(random.choices(sections, k=218))
|
||||
eng = is_english(random_choices(sections, k=218))
|
||||
|
||||
res = []
|
||||
# add tables
|
||||
|
@ -86,7 +86,8 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, callback=None, **k
|
||||
l = f.readline()
|
||||
if not l:break
|
||||
txt += l
|
||||
sections = txt.split("\n")
|
||||
sections = txt.split("\n")
|
||||
sections = txt.split("\n")
|
||||
sections = [l for l in sections if l]
|
||||
callback(0.8, "Finish parsing.")
|
||||
else: raise NotImplementedError("file type not supported yet(docx, pdf, txt supported)")
|
||||
|
@ -52,7 +52,7 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, callback=None, **k
|
||||
l = f.readline()
|
||||
if not l:break
|
||||
txt += l
|
||||
sections = txt.split("\n")
|
||||
sections = txt.split("\n")
|
||||
sections = [(l,"") for l in sections if l]
|
||||
callback(0.8, "Finish parsing.")
|
||||
else: raise NotImplementedError("file type not supported yet(docx, pdf, txt supported)")
|
||||
|
@ -1,6 +1,9 @@
|
||||
import copy
|
||||
import re
|
||||
from collections import Counter
|
||||
|
||||
from api.db import ParserType
|
||||
from rag.cv.ppdetection import PPDet
|
||||
from rag.parser import tokenize
|
||||
from rag.nlp import huqie
|
||||
from rag.parser.pdf_parser import HuParser
|
||||
@ -9,6 +12,10 @@ from rag.utils import num_tokens_from_string
|
||||
|
||||
|
||||
class Pdf(HuParser):
|
||||
def __init__(self):
|
||||
self.model_speciess = ParserType.PAPER.value
|
||||
super().__init__()
|
||||
|
||||
def __call__(self, filename, binary=None, from_page=0,
|
||||
to_page=100000, zoomin=3, callback=None):
|
||||
self.__images__(
|
||||
@ -63,6 +70,15 @@ class Pdf(HuParser):
|
||||
"[0-9. 一、i]*(introduction|abstract|摘要|引言|keywords|key words|关键词|background|背景|目录|前言|contents)",
|
||||
txt.lower().strip())
|
||||
|
||||
if from_page > 0:
|
||||
return {
|
||||
"title":"",
|
||||
"authors": "",
|
||||
"abstract": "",
|
||||
"lines": [(b["text"] + self._line_tag(b, zoomin), b.get("layoutno", "")) for b in self.boxes[i:] if
|
||||
re.match(r"(text|title)", b.get("layoutno", "text"))],
|
||||
"tables": tbls
|
||||
}
|
||||
# get title and authors
|
||||
title = ""
|
||||
authors = []
|
||||
@ -115,18 +131,13 @@ class Pdf(HuParser):
|
||||
|
||||
def chunk(filename, binary=None, from_page=0, to_page=100000, callback=None, **kwargs):
|
||||
pdf_parser = None
|
||||
paper = {}
|
||||
|
||||
if re.search(r"\.pdf$", filename, re.IGNORECASE):
|
||||
pdf_parser = Pdf()
|
||||
paper = pdf_parser(filename if not binary else binary,
|
||||
from_page=from_page, to_page=to_page, callback=callback)
|
||||
else: raise NotImplementedError("file type not supported yet(pdf supported)")
|
||||
doc = {
|
||||
"docnm_kwd": paper["title"] if paper["title"] else filename,
|
||||
"authors_tks": paper["authors"]
|
||||
}
|
||||
doc["title_tks"] = huqie.qie(re.sub(r"\.[a-zA-Z]+$", "", doc["docnm_kwd"]))
|
||||
doc = {"docnm_kwd": filename, "authors_tks": paper["authors"],
|
||||
"title_tks": huqie.qie(paper["title"] if paper["title"] else filename)}
|
||||
doc["title_sm_tks"] = huqie.qieqie(doc["title_tks"])
|
||||
doc["authors_sm_tks"] = huqie.qieqie(doc["authors_tks"])
|
||||
# is it English
|
||||
|
@ -3,7 +3,7 @@ import re
|
||||
from io import BytesIO
|
||||
from nltk import word_tokenize
|
||||
from openpyxl import load_workbook
|
||||
from rag.parser import is_english
|
||||
from rag.parser import is_english, random_choices
|
||||
from rag.nlp import huqie, stemmer
|
||||
|
||||
|
||||
@ -33,9 +33,9 @@ class Excel(object):
|
||||
if len(res) % 999 == 0:
|
||||
callback(len(res)*0.6/total, ("Extract Q&A: {}".format(len(res)) + (f"{len(fails)} failure, line: %s..."%(",".join(fails[:3])) if fails else "")))
|
||||
|
||||
callback(0.6, ("Extract Q&A: {}".format(len(res)) + (
|
||||
callback(0.6, ("Extract Q&A: {}. ".format(len(res)) + (
|
||||
f"{len(fails)} failure, line: %s..." % (",".join(fails[:3])) if fails else "")))
|
||||
self.is_english = is_english([rmPrefix(q) for q, _ in random.choices(res, k=30) if len(q)>1])
|
||||
self.is_english = is_english([rmPrefix(q) for q, _ in random_choices(res, k=30) if len(q)>1])
|
||||
return res
|
||||
|
||||
|
||||
|
170
rag/app/table.py
Normal file
170
rag/app/table.py
Normal file
@ -0,0 +1,170 @@
|
||||
import copy
|
||||
import random
|
||||
import re
|
||||
from io import BytesIO
|
||||
from xpinyin import Pinyin
|
||||
import numpy as np
|
||||
import pandas as pd
|
||||
from nltk import word_tokenize
|
||||
from openpyxl import load_workbook
|
||||
from dateutil.parser import parse as datetime_parse
|
||||
from rag.parser import is_english, tokenize
|
||||
from rag.nlp import huqie, stemmer
|
||||
|
||||
|
||||
class Excel(object):
|
||||
def __call__(self, fnm, binary=None, callback=None):
|
||||
if not binary:
|
||||
wb = load_workbook(fnm)
|
||||
else:
|
||||
wb = load_workbook(BytesIO(binary))
|
||||
total = 0
|
||||
for sheetname in wb.sheetnames:
|
||||
total += len(list(wb[sheetname].rows))
|
||||
|
||||
res, fails, done = [], [], 0
|
||||
for sheetname in wb.sheetnames:
|
||||
ws = wb[sheetname]
|
||||
rows = list(ws.rows)
|
||||
headers = [cell.value for cell in rows[0]]
|
||||
missed = set([i for i,h in enumerate(headers) if h is None])
|
||||
headers = [cell.value for i,cell in enumerate(rows[0]) if i not in missed]
|
||||
data = []
|
||||
for i, r in enumerate(rows[1:]):
|
||||
row = [cell.value for ii,cell in enumerate(r) if ii not in missed]
|
||||
if len(row) != len(headers):
|
||||
fails.append(str(i))
|
||||
continue
|
||||
data.append(row)
|
||||
done += 1
|
||||
if done % 999 == 0:
|
||||
callback(done * 0.6/total, ("Extract records: {}".format(len(res)) + (f"{len(fails)} failure({sheetname}), line: %s..."%(",".join(fails[:3])) if fails else "")))
|
||||
res.append(pd.DataFrame(np.array(data), columns=headers))
|
||||
|
||||
callback(0.6, ("Extract records: {}. ".format(done) + (
|
||||
f"{len(fails)} failure, line: %s..." % (",".join(fails[:3])) if fails else "")))
|
||||
return res
|
||||
|
||||
|
||||
def trans_datatime(s):
|
||||
try:
|
||||
return datetime_parse(s.strip()).strftime("%Y-%m-%dT%H:%M:%S")
|
||||
except Exception as e:
|
||||
pass
|
||||
|
||||
|
||||
def trans_bool(s):
|
||||
if re.match(r"(true|yes|是)$", str(s).strip(), flags=re.IGNORECASE): return ["yes", "是"]
|
||||
if re.match(r"(false|no|否)$", str(s).strip(), flags=re.IGNORECASE): return ["no", "否"]
|
||||
|
||||
|
||||
def column_data_type(arr):
|
||||
uni = len(set([a for a in arr if a is not None]))
|
||||
counts = {"int": 0, "float": 0, "text": 0, "datetime": 0, "bool": 0}
|
||||
trans = {t:f for f,t in [(int, "int"), (float, "float"), (trans_datatime, "datetime"), (trans_bool, "bool"), (str, "text")]}
|
||||
for a in arr:
|
||||
if a is None:continue
|
||||
if re.match(r"[+-]?[0-9]+(\.0+)?$", str(a).replace("%%", "")):
|
||||
counts["int"] += 1
|
||||
elif re.match(r"[+-]?[0-9.]+$", str(a).replace("%%", "")):
|
||||
counts["float"] += 1
|
||||
elif re.match(r"(true|false|yes|no|是|否)$", str(a), flags=re.IGNORECASE):
|
||||
counts["bool"] += 1
|
||||
elif trans_datatime(str(a)):
|
||||
counts["datetime"] += 1
|
||||
else: counts["text"] += 1
|
||||
counts = sorted(counts.items(), key=lambda x: x[1]*-1)
|
||||
ty = counts[0][0]
|
||||
for i in range(len(arr)):
|
||||
if arr[i] is None:continue
|
||||
try:
|
||||
arr[i] = trans[ty](str(arr[i]))
|
||||
except Exception as e:
|
||||
arr[i] = None
|
||||
if ty == "text":
|
||||
if len(arr) > 128 and uni/len(arr) < 0.1:
|
||||
ty = "keyword"
|
||||
return arr, ty
|
||||
|
||||
|
||||
def chunk(filename, binary=None, callback=None, **kwargs):
|
||||
dfs = []
|
||||
if re.search(r"\.xlsx?$", filename, re.IGNORECASE):
|
||||
callback(0.1, "Start to parse.")
|
||||
excel_parser = Excel()
|
||||
dfs = excel_parser(filename, binary, callback)
|
||||
elif re.search(r"\.(txt|csv)$", filename, re.IGNORECASE):
|
||||
callback(0.1, "Start to parse.")
|
||||
txt = ""
|
||||
if binary:
|
||||
txt = binary.decode("utf-8")
|
||||
else:
|
||||
with open(filename, "r") as f:
|
||||
while True:
|
||||
l = f.readline()
|
||||
if not l: break
|
||||
txt += l
|
||||
lines = txt.split("\n")
|
||||
fails = []
|
||||
headers = lines[0].split(kwargs.get("delimiter", "\t"))
|
||||
rows = []
|
||||
for i, line in enumerate(lines[1:]):
|
||||
row = [l for l in line.split(kwargs.get("delimiter", "\t"))]
|
||||
if len(row) != len(headers):
|
||||
fails.append(str(i))
|
||||
continue
|
||||
rows.append(row)
|
||||
if len(rows) % 999 == 0:
|
||||
callback(len(rows) * 0.6 / len(lines), ("Extract records: {}".format(len(rows)) + (
|
||||
f"{len(fails)} failure, line: %s..." % (",".join(fails[:3])) if fails else "")))
|
||||
|
||||
callback(0.6, ("Extract records: {}".format(len(rows)) + (
|
||||
f"{len(fails)} failure, line: %s..." % (",".join(fails[:3])) if fails else "")))
|
||||
|
||||
dfs = [pd.DataFrame(np.array(rows), columns=headers)]
|
||||
|
||||
else: raise NotImplementedError("file type not supported yet(excel, text, csv supported)")
|
||||
|
||||
res = []
|
||||
PY = Pinyin()
|
||||
fieds_map = {"text": "_tks", "int": "_int", "keyword": "_kwd", "float": "_flt", "datetime": "_dt", "bool": "_kwd"}
|
||||
for df in dfs:
|
||||
for n in ["id", "_id", "index", "idx"]:
|
||||
if n in df.columns:del df[n]
|
||||
clmns = df.columns.values
|
||||
txts = list(copy.deepcopy(clmns))
|
||||
py_clmns = [PY.get_pinyins(n)[0].replace("-", "_") for n in clmns]
|
||||
clmn_tys = []
|
||||
for j in range(len(clmns)):
|
||||
cln,ty = column_data_type(df[clmns[j]])
|
||||
clmn_tys.append(ty)
|
||||
df[clmns[j]] = cln
|
||||
if ty == "text": txts.extend([str(c) for c in cln if c])
|
||||
clmns_map = [(py_clmns[j] + fieds_map[clmn_tys[j]], clmns[j]) for i in range(len(clmns))]
|
||||
# TODO: set this column map to KB parser configuration
|
||||
|
||||
eng = is_english(txts)
|
||||
for ii,row in df.iterrows():
|
||||
d = {}
|
||||
row_txt = []
|
||||
for j in range(len(clmns)):
|
||||
if row[clmns[j]] is None:continue
|
||||
fld = clmns_map[j][0]
|
||||
d[fld] = row[clmns[j]] if clmn_tys[j] != "text" else huqie.qie(row[clmns[j]])
|
||||
row_txt.append("{}:{}".format(clmns[j], row[clmns[j]]))
|
||||
if not row_txt:continue
|
||||
tokenize(d, "; ".join(row_txt), eng)
|
||||
print(d)
|
||||
res.append(d)
|
||||
callback(0.6, "")
|
||||
|
||||
return res
|
||||
|
||||
|
||||
|
||||
if __name__== "__main__":
|
||||
import sys
|
||||
def dummy(a, b):
|
||||
pass
|
||||
chunk(sys.argv[1], callback=dummy)
|
||||
|
@ -67,7 +67,7 @@ class Dealer:
|
||||
ps = int(req.get("size", 1000))
|
||||
src = req.get("fields", ["docnm_kwd", "content_ltks", "kb_id", "img_id",
|
||||
"image_id", "doc_id", "q_512_vec", "q_768_vec",
|
||||
"q_1024_vec", "q_1536_vec", "available_int"])
|
||||
"q_1024_vec", "q_1536_vec", "available_int", "content_with_weight"])
|
||||
|
||||
s = s.query(bqry)[pg * ps:(pg + 1) * ps]
|
||||
s = s.highlight("content_ltks")
|
||||
@ -234,7 +234,7 @@ class Dealer:
|
||||
sres.field[i].get("q_%d_vec" % len(sres.query_vector), "\t".join(["0"] * len(sres.query_vector)))) for i in sres.ids]
|
||||
if not ins_embd:
|
||||
return [], [], []
|
||||
ins_tw = [huqie.qie(sres.field[i][cfield]).split(" ")
|
||||
ins_tw = [sres.field[i][cfield].split(" ")
|
||||
for i in sres.ids]
|
||||
sim, tksim, vtsim = self.qryr.hybrid_similarity(sres.query_vector,
|
||||
ins_embd,
|
||||
@ -281,6 +281,7 @@ class Dealer:
|
||||
d = {
|
||||
"chunk_id": id,
|
||||
"content_ltks": sres.field[id]["content_ltks"],
|
||||
"content_with_weight": sres.field[id]["content_with_weight"],
|
||||
"doc_id": sres.field[id]["doc_id"],
|
||||
"docnm_kwd": dnm,
|
||||
"kb_id": sres.field[id]["kb_id"],
|
||||
|
@ -1,4 +1,5 @@
|
||||
import copy
|
||||
import random
|
||||
|
||||
from .pdf_parser import HuParser as PdfParser
|
||||
from .docx_parser import HuDocxParser as DocxParser
|
||||
@ -38,6 +39,9 @@ BULLET_PATTERN = [[
|
||||
]
|
||||
]
|
||||
|
||||
def random_choices(arr, k):
|
||||
k = min(len(arr), k)
|
||||
return random.choices(arr, k=k)
|
||||
|
||||
def bullets_category(sections):
|
||||
global BULLET_PATTERN
|
||||
|
@ -1,7 +1,10 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
import os
|
||||
import random
|
||||
from functools import partial
|
||||
|
||||
import fitz
|
||||
import requests
|
||||
import xgboost as xgb
|
||||
from io import BytesIO
|
||||
import torch
|
||||
@ -10,13 +13,14 @@ import pdfplumber
|
||||
import logging
|
||||
from PIL import Image
|
||||
import numpy as np
|
||||
|
||||
from api.db import ParserType
|
||||
from rag.nlp import huqie
|
||||
from collections import Counter
|
||||
from copy import deepcopy
|
||||
from rag.cv.table_recognize import TableTransformer
|
||||
from rag.cv.ppdetection import PPDet
|
||||
from huggingface_hub import hf_hub_download
|
||||
|
||||
|
||||
logging.getLogger("pdfminer").setLevel(logging.WARNING)
|
||||
|
||||
|
||||
@ -25,8 +29,10 @@ class HuParser:
|
||||
from paddleocr import PaddleOCR
|
||||
logging.getLogger("ppocr").setLevel(logging.ERROR)
|
||||
self.ocr = PaddleOCR(use_angle_cls=False, lang="ch")
|
||||
self.layouter = PPDet("/data/newpeak/medical-gpt/res/ppdet")
|
||||
self.tbl_det = PPDet("/data/newpeak/medical-gpt/res/ppdet.tbl")
|
||||
if not hasattr(self, "model_speciess"):
|
||||
self.model_speciess = ParserType.GENERAL.value
|
||||
self.layouter = partial(self.__remote_call, self.model_speciess)
|
||||
self.tbl_det = partial(self.__remote_call, "table_component")
|
||||
|
||||
self.updown_cnt_mdl = xgb.Booster()
|
||||
if torch.cuda.is_available():
|
||||
@ -45,6 +51,38 @@ class HuParser:
|
||||
|
||||
"""
|
||||
|
||||
def __remote_call(self, species, images, thr=0.7):
|
||||
url = os.environ.get("INFINIFLOW_SERVER")
|
||||
if not url:raise EnvironmentError("Please set environment variable: 'INFINIFLOW_SERVER'")
|
||||
token = os.environ.get("INFINIFLOW_TOKEN")
|
||||
if not token:raise EnvironmentError("Please set environment variable: 'INFINIFLOW_TOKEN'")
|
||||
|
||||
def convert_image_to_bytes(PILimage):
|
||||
image = BytesIO()
|
||||
PILimage.save(image, format='png')
|
||||
image.seek(0)
|
||||
return image.getvalue()
|
||||
|
||||
images = [convert_image_to_bytes(img) for img in images]
|
||||
|
||||
def remote_call():
|
||||
nonlocal images, thr
|
||||
res = requests.post(url+"/v1/layout/detect/"+species, files=[("image", img) for img in images], data={"threashold": thr},
|
||||
headers={"Authorization": token}, timeout=len(images) * 10)
|
||||
res = res.json()
|
||||
if res["retcode"] != 0: raise RuntimeError(res["retmsg"])
|
||||
return res["data"]
|
||||
|
||||
for _ in range(3):
|
||||
try:
|
||||
return remote_call()
|
||||
except RuntimeError as e:
|
||||
raise e
|
||||
except Exception as e:
|
||||
logging.error("layout_predict:"+str(e))
|
||||
return remote_call()
|
||||
|
||||
|
||||
def __char_width(self, c):
|
||||
return (c["x1"] - c["x0"]) // len(c["text"])
|
||||
|
||||
@ -344,7 +382,7 @@ class HuParser:
|
||||
return layouts
|
||||
|
||||
def __table_paddle(self, images):
|
||||
tbls = self.tbl_det([np.array(img) for img in images], thr=0.5)
|
||||
tbls = self.tbl_det(images, thr=0.5)
|
||||
res = []
|
||||
# align left&right for rows, align top&bottom for columns
|
||||
for tbl in tbls:
|
||||
@ -522,7 +560,7 @@ class HuParser:
|
||||
assert len(self.page_images) == len(self.boxes)
|
||||
# Tag layout type
|
||||
boxes = []
|
||||
layouts = self.layouter([np.array(img) for img in self.page_images])
|
||||
layouts = self.layouter(self.page_images)
|
||||
assert len(self.page_images) == len(layouts)
|
||||
for pn, lts in enumerate(layouts):
|
||||
bxs = self.boxes[pn]
|
||||
@ -1705,7 +1743,8 @@ class HuParser:
|
||||
self.__ocr_paddle(i + 1, img, chars, zoomin)
|
||||
|
||||
if not self.is_english and not any([c for c in self.page_chars]) and self.boxes:
|
||||
self.is_english = re.search(r"[\na-zA-Z0-9,/¸;:'\[\]\(\)!@#$%^&*\"?<>._-]{30,}", "".join([b["text"] for b in random.choices([b for bxs in self.boxes for b in bxs], k=30)]))
|
||||
bxes = [b for bxs in self.boxes for b in bxs]
|
||||
self.is_english = re.search(r"[\na-zA-Z0-9,/¸;:'\[\]\(\)!@#$%^&*\"?<>._-]{30,}", "".join([b["text"] for b in random.choices(bxes, k=min(30, len(bxes)))]))
|
||||
|
||||
logging.info("Is it English:", self.is_english)
|
||||
|
||||
|
@ -134,5 +134,5 @@ if __name__ == "__main__":
|
||||
|
||||
while True:
|
||||
dispatch()
|
||||
time.sleep(3)
|
||||
time.sleep(1)
|
||||
update_progress()
|
||||
|
@ -36,7 +36,7 @@ from rag.nlp import search
|
||||
from io import BytesIO
|
||||
import pandas as pd
|
||||
|
||||
from rag.app import laws, paper, presentation, manual, qa
|
||||
from rag.app import laws, paper, presentation, manual, qa, table,book
|
||||
|
||||
from api.db import LLMType, ParserType
|
||||
from api.db.services.document_service import DocumentService
|
||||
@ -49,10 +49,12 @@ BATCH_SIZE = 64
|
||||
FACTORY = {
|
||||
ParserType.GENERAL.value: laws,
|
||||
ParserType.PAPER.value: paper,
|
||||
ParserType.BOOK.value: book,
|
||||
ParserType.PRESENTATION.value: presentation,
|
||||
ParserType.MANUAL.value: manual,
|
||||
ParserType.LAWS.value: laws,
|
||||
ParserType.QA.value: qa,
|
||||
ParserType.TABLE.value: table,
|
||||
}
|
||||
|
||||
|
||||
@ -66,7 +68,7 @@ def set_progress(task_id, from_page, to_page, prog=None, msg="Processing..."):
|
||||
d = {"progress_msg": msg}
|
||||
if prog is not None: d["progress"] = prog
|
||||
try:
|
||||
TaskService.update_by_id(task_id, d)
|
||||
TaskService.update_progress(task_id, d)
|
||||
except Exception as e:
|
||||
cron_logger.error("set_progress:({}), {}".format(task_id, str(e)))
|
||||
|
||||
@ -113,7 +115,7 @@ def build(row, cvmdl):
|
||||
return []
|
||||
|
||||
callback = partial(set_progress, row["id"], row["from_page"], row["to_page"])
|
||||
chunker = FACTORY[row["parser_id"]]
|
||||
chunker = FACTORY[row["parser_id"].lower()]
|
||||
try:
|
||||
cron_logger.info("Chunkking {}/{}".format(row["location"], row["name"]))
|
||||
cks = chunker.chunk(row["name"], MINIO.get(row["kb_id"], row["location"]), row["from_page"], row["to_page"],
|
||||
@ -154,6 +156,7 @@ def build(row, cvmdl):
|
||||
|
||||
MINIO.put(row["kb_id"], d["_id"], output_buffer.getvalue())
|
||||
d["img_id"] = "{}-{}".format(row["kb_id"], d["_id"])
|
||||
del d["image"]
|
||||
docs.append(d)
|
||||
|
||||
return docs
|
||||
@ -168,7 +171,7 @@ def init_kb(row):
|
||||
|
||||
|
||||
def embedding(docs, mdl):
|
||||
tts, cnts = [d["docnm_kwd"] for d in docs if d.get("docnm_kwd")], [d["content_with_weight"] for d in docs]
|
||||
tts, cnts = [rmSpace(d["title_tks"]) for d in docs if d.get("title_tks")], [d["content_with_weight"] for d in docs]
|
||||
tk_count = 0
|
||||
if len(tts) == len(cnts):
|
||||
tts, c = mdl.encode(tts)
|
||||
@ -207,6 +210,7 @@ def main(comm, mod):
|
||||
cks = build(r, cv_mdl)
|
||||
if not cks:
|
||||
tmf.write(str(r["update_time"]) + "\n")
|
||||
callback(1., "No chunk! Done!")
|
||||
continue
|
||||
# TODO: exception handler
|
||||
## set_progress(r["did"], -1, "ERROR: ")
|
||||
@ -215,7 +219,6 @@ def main(comm, mod):
|
||||
except Exception as e:
|
||||
callback(-1, "Embedding error:{}".format(str(e)))
|
||||
cron_logger.error(str(e))
|
||||
continue
|
||||
|
||||
callback(msg="Finished embedding! Start to build index!")
|
||||
init_kb(r)
|
||||
@ -227,6 +230,7 @@ def main(comm, mod):
|
||||
else:
|
||||
if TaskService.do_cancel(r["id"]):
|
||||
ELASTICSEARCH.deleteByQuery(Q("match", doc_id=r["doc_id"]), idxnm=search.index_name(r["tenant_id"]))
|
||||
continue
|
||||
callback(1., "Done!")
|
||||
DocumentService.increment_chunk_num(r["doc_id"], r["kb_id"], tk_count, chunk_count, 0)
|
||||
cron_logger.info("Chunk doc({}), token({}), chunks({})".format(r["id"], tk_count, len(cks)))
|
||||
|
Loading…
x
Reference in New Issue
Block a user