mirror of
https://git.mirrors.martin98.com/https://github.com/infiniflow/ragflow.git
synced 2025-08-11 17:19:03 +08:00
add redis to accelerate access of minio (#482)
### What problem does this PR solve? ### Type of change - [x] New Feature (non-breaking change which adds functionality)
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fc87c20bd8
commit
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@ -54,7 +54,7 @@ app.errorhandler(Exception)(server_error_response)
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#app.config["LOGIN_DISABLED"] = True
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app.config["SESSION_PERMANENT"] = False
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app.config["SESSION_TYPE"] = "filesystem"
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app.config['MAX_CONTENT_LENGTH'] = os.environ.get("MAX_CONTENT_LENGTH", 128 * 1024 * 1024)
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app.config['MAX_CONTENT_LENGTH'] = int(os.environ.get("MAX_CONTENT_LENGTH", 128 * 1024 * 1024))
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Session(app)
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login_manager = LoginManager()
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@ -147,7 +147,7 @@ def filename_type(filename):
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return FileType.PDF.value
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if re.match(
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r".*\.(docx|doc|ppt|pptx|yml|xml|htm|json|csv|txt|ini|xls|xlsx|wps|rtf|hlp|pages|numbers|key|md)$", filename):
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r".*\.(docx|ppt|pptx|yml|xml|htm|json|csv|txt|ini|xls|xlsx|wps|rtf|hlp|pages|numbers|key|md)$", filename):
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return FileType.DOC.value
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if re.match(
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@ -1,7 +1,7 @@
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{
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"settings": {
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"index": {
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"number_of_shards": 4,
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"number_of_shards": 2,
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"number_of_replicas": 0,
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"refresh_interval" : "1000ms"
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},
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@ -13,11 +13,16 @@ minio:
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user: 'rag_flow'
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password: 'infini_rag_flow'
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host: 'minio:9000'
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redis:
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db: 1
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password: 'infini_rag_flow'
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host: 'redis:6379'
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es:
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hosts: 'http://es01:9200'
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user_default_llm:
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factory: 'Tongyi-Qianwen'
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api_key: 'sk-xxxxxxxxxxxxx'
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base_url: ''
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oauth:
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github:
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client_id: xxxxxxxxxxxxxxxxxxxxxxxxx
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@ -13,6 +13,10 @@ minio:
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user: 'rag_flow'
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password: 'infini_rag_flow'
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host: 'minio:9000'
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redis:
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db: 1
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password: 'infini_rag_flow'
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host: 'redis:6379'
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es:
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hosts: 'http://es01:9200'
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user_default_llm:
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@ -66,6 +66,8 @@ class Docx(DocxParser):
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class Pdf(PdfParser):
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def __call__(self, filename, binary=None, from_page=0,
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to_page=100000, zoomin=3, callback=None):
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from timeit import default_timer as timer
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start = timer()
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callback(msg="OCR is running...")
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self.__images__(
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filename if not binary else binary,
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@ -75,8 +77,8 @@ class Pdf(PdfParser):
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callback
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)
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callback(msg="OCR finished")
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cron_logger.info("OCR: {}".format(timer() - start))
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from timeit import default_timer as timer
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start = timer()
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self._layouts_rec(zoomin)
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callback(0.63, "Layout analysis finished.")
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@ -90,7 +92,7 @@ class Pdf(PdfParser):
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self._concat_downward()
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#self._filter_forpages()
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cron_logger.info("paddle layouts:".format(
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cron_logger.info("paddle layouts: {}".format(
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(timer() - start) / (self.total_page + 0.1)))
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return [(b["text"], self._line_tag(b, zoomin))
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for b in self.boxes], tbls
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@ -25,6 +25,11 @@ SUBPROCESS_STD_LOG_NAME = "std.log"
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ES = get_base_config("es", {})
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MINIO = decrypt_database_config(name="minio")
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try:
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REDIS = decrypt_database_config(name="redis")
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except Exception as e:
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REDIS = {}
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pass
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DOC_MAXIMUM_SIZE = 128 * 1024 * 1024
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# Logger
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@ -39,5 +44,6 @@ LoggerFactory.LEVEL = 30
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es_logger = getLogger("es")
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minio_logger = getLogger("minio")
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cron_logger = getLogger("cron_logger")
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cron_logger.setLevel(20)
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chunk_logger = getLogger("chunk_logger")
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database_logger = getLogger("database")
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@ -32,6 +32,7 @@ from api.db.services.document_service import DocumentService
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from api.settings import database_logger
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from api.utils import get_format_time, get_uuid
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from api.utils.file_utils import get_project_base_directory
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from rag.utils.redis_conn import REDIS_CONN
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def collect(tm):
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@ -84,10 +85,16 @@ def dispatch():
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tsks = []
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try:
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file_bin = MINIO.get(r["kb_id"], r["location"])
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if REDIS_CONN.is_alive():
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try:
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REDIS_CONN.set("{}/{}".format(r["kb_id"], r["location"]), file_bin, 12*60)
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except Exception as e:
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cron_logger.warning("Put into redis[EXCEPTION]:" + str(e))
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if r["type"] == FileType.PDF.value:
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do_layout = r["parser_config"].get("layout_recognize", True)
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pages = PdfParser.total_page_number(
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r["name"], MINIO.get(r["kb_id"], r["location"]))
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pages = PdfParser.total_page_number(r["name"], file_bin)
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page_size = r["parser_config"].get("task_page_size", 12)
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if r["parser_id"] == "paper":
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page_size = r["parser_config"].get("task_page_size", 22)
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@ -110,8 +117,7 @@ def dispatch():
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elif r["parser_id"] == "table":
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rn = HuExcelParser.row_number(
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r["name"], MINIO.get(
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r["kb_id"], r["location"]))
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r["name"], file_bin)
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for i in range(0, rn, 3000):
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task = new_task()
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task["from_page"] = i
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@ -19,13 +19,12 @@ import logging
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import os
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import hashlib
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import copy
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import random
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import re
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import sys
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import time
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import traceback
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from functools import partial
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from rag.utils import MINIO
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from api.db.db_models import close_connection
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from rag.settings import database_logger
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from rag.settings import cron_logger, DOC_MAXIMUM_SIZE
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@ -35,7 +34,7 @@ from elasticsearch_dsl import Q
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from multiprocessing.context import TimeoutError
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from api.db.services.task_service import TaskService
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from rag.utils import ELASTICSEARCH
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from rag.utils import MINIO
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from timeit import default_timer as timer
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from rag.utils import rmSpace, findMaxTm
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from rag.nlp import search
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@ -48,6 +47,7 @@ from api.db import LLMType, ParserType
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from api.db.services.document_service import DocumentService
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from api.db.services.llm_service import LLMBundle
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from api.utils.file_utils import get_project_base_directory
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from rag.utils.redis_conn import REDIS_CONN
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BATCH_SIZE = 64
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@ -105,11 +105,16 @@ def collect(comm, mod, tm):
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def get_minio_binary(bucket, name):
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global MINIO
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if REDIS_CONN.is_alive():
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try:
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r = REDIS_CONN.get("{}/{}".format(bucket, name))
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if r: return r
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except Exception as e:
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cron_logger.warning("Get redis[EXCEPTION]:" + str(e))
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return MINIO.get(bucket, name)
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def build(row):
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from timeit import default_timer as timer
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if row["size"] > DOC_MAXIMUM_SIZE:
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set_progress(row["id"], prog=-1, msg="File size exceeds( <= %dMb )" %
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(int(DOC_MAXIMUM_SIZE / 1024 / 1024)))
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@ -265,6 +270,7 @@ def main(comm, mod):
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callback(
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msg="Finished slicing files(%d). Start to embedding the content." %
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len(cks))
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st = timer()
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try:
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tk_count = embedding(cks, embd_mdl, r["parser_config"], callback)
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except Exception as e:
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@ -272,9 +278,10 @@ def main(comm, mod):
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cron_logger.error(str(e))
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tk_count = 0
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callback(msg="Finished embedding! Start to build index!")
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callback(msg="Finished embedding({})! Start to build index!".format(timer()-st))
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init_kb(r)
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chunk_count = len(set([c["_id"] for c in cks]))
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st = timer()
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es_r = ELASTICSEARCH.bulk(cks, search.index_name(r["tenant_id"]))
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if es_r:
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callback(-1, "Index failure!")
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@ -290,8 +297,8 @@ def main(comm, mod):
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DocumentService.increment_chunk_num(
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r["doc_id"], r["kb_id"], tk_count, chunk_count, 0)
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cron_logger.info(
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"Chunk doc({}), token({}), chunks({})".format(
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r["id"], tk_count, len(cks)))
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"Chunk doc({}), token({}), chunks({}), elapsed:{}".format(
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r["id"], tk_count, len(cks), timer()-st))
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tmf.write(str(r["update_time"]) + "\n")
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tmf.close()
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55
rag/utils/redis_conn.py
Normal file
55
rag/utils/redis_conn.py
Normal file
@ -0,0 +1,55 @@
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import json
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import redis
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import logging
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from rag import settings
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from rag.utils import singleton
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@singleton
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class RedisDB:
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def __init__(self):
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self.REDIS = None
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self.config = settings.REDIS
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self.__open__()
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def __open__(self):
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try:
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self.REDIS = redis.Redis(host=self.config.get("host", "redis").split(":")[0],
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port=int(self.config.get("host", ":6379").split(":")[1]),
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db=int(self.config.get("db", 1)),
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password=self.config.get("password"))
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except Exception as e:
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logging.warning("Redis can't be connected.")
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return self.REDIS
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def is_alive(self):
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return self.REDIS is not None
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def get(self, k):
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if not self.REDIS: return
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try:
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return self.REDIS.get(k)
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except Exception as e:
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logging.warning("[EXCEPTION]get" + str(k) + "||" + str(e))
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self.__open__()
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def set_obj(self, k, obj, exp=3600):
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try:
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self.REDIS.set(k, json.dumps(obj, ensure_ascii=False), exp)
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return True
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except Exception as e:
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logging.warning("[EXCEPTION]set_obj" + str(k) + "||" + str(e))
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self.__open__()
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return False
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def set(self, k, v, exp=3600):
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try:
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self.REDIS.set(k, v, exp)
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return True
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except Exception as e:
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logging.warning("[EXCEPTION]set" + str(k) + "||" + str(e))
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self.__open__()
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return False
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REDIS_CONN = RedisDB()
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