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https://git.mirrors.martin98.com/https://github.com/infiniflow/ragflow.git
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Synchronize with enterprise version (#4325)
### Type of change - [x] Refactoring
This commit is contained in:
parent
564277736a
commit
50f209204e
@ -336,7 +336,7 @@
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"parameters": [],
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"parameters": [],
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"presencePenaltyEnabled": true,
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"presencePenaltyEnabled": true,
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"presence_penalty": 0.4,
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"presence_penalty": 0.4,
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"prompt": "Role: You are a customer support. \n\nTask: Please answer the question based on content of knowledge base. \n\nReuirements & restrictions:\n - DO NOT make things up when all knowledge base content is irrelevant to the question. \n - Answers need to consider chat history.\n - Request about customer's contact information like, Wechat number, LINE number, twitter, discord, etc,. , when knowlegebase content can't answer his question. So, product expert could contact him soon to solve his problem.\n\n Knowledge base content is as following:\n {input}\n The above is the content of knowledge base.",
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"prompt": "Role: You are a customer support. \n\nTask: Please answer the question based on content of knowledge base. \n\nRequirements & restrictions:\n - DO NOT make things up when all knowledge base content is irrelevant to the question. \n - Answers need to consider chat history.\n - Request about customer's contact information like, Wechat number, LINE number, twitter, discord, etc,. , when knowledge base content can't answer his question. So, product expert could contact him soon to solve his problem.\n\n Knowledge base content is as following:\n {input}\n The above is the content of knowledge base.",
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"temperature": 0.1,
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"temperature": 0.1,
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"temperatureEnabled": true,
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"temperatureEnabled": true,
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"topPEnabled": true,
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"topPEnabled": true,
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@ -603,7 +603,7 @@
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{
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{
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"data": {
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"data": {
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"form": {
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"form": {
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"text": "Static messages.\nDefine replys after recieve user's contact information."
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"text": "Static messages.\nDefine response after receive user's contact information."
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},
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},
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"label": "Note",
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"label": "Note",
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"name": "N: What else?"
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"name": "N: What else?"
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@ -691,7 +691,7 @@
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{
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{
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"data": {
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"data": {
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"form": {
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"form": {
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"text": "Complete questions by conversation history.\nUser: What's RAGFlow?\nAssistant: RAGFlow is xxx.\nUser: How to deloy it?\n\nRefine it: How to deploy RAGFlow?"
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"text": "Complete questions by conversation history.\nUser: What's RAGFlow?\nAssistant: RAGFlow is xxx.\nUser: How to deploy it?\n\nRefine it: How to deploy RAGFlow?"
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},
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},
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"label": "Note",
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"label": "Note",
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"name": "N: Refine Question"
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"name": "N: Refine Question"
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@ -9,7 +9,7 @@ def chunk(filename, binary, tenant_id, from_page=0, to_page=100000,
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lang="Chinese", callback=None, **kwargs):
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lang="Chinese", callback=None, **kwargs):
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parser_config = kwargs.get(
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parser_config = kwargs.get(
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"parser_config", {
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"parser_config", {
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"chunk_token_num": 512, "delimiter": "\n!?。;!?", "layout_recognize": True})
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"chunk_token_num": 512, "delimiter": "\n!?;。;!?", "layout_recognize": True})
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eng = lang.lower() == "english"
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eng = lang.lower() == "english"
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parser_config["layout_recognize"] = True
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parser_config["layout_recognize"] = True
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@ -256,7 +256,7 @@ def chunk(filename, binary=None, from_page=0, to_page=100000,
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res.extend(tokenize_chunks(chunks, doc, eng, pdf_parser))
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res.extend(tokenize_chunks(chunks, doc, eng, pdf_parser))
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return res
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return res
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elif re.search(r"\.docx$", filename, re.IGNORECASE):
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elif re.search(r"\.docx?$", filename, re.IGNORECASE):
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docx_parser = Docx()
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docx_parser = Docx()
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ti_list, tbls = docx_parser(filename, binary,
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ti_list, tbls = docx_parser(filename, binary,
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from_page=0, to_page=10000, callback=callback)
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from_page=0, to_page=10000, callback=callback)
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@ -24,7 +24,6 @@ import openai
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from ollama import Client
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from ollama import Client
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from rag.nlp import is_chinese, is_english
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from rag.nlp import is_chinese, is_english
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from rag.utils import num_tokens_from_string
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from rag.utils import num_tokens_from_string
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from groq import Groq
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import os
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import os
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import json
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import json
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import requests
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import requests
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@ -840,6 +839,7 @@ class GeminiChat(Base):
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class GroqChat:
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class GroqChat:
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def __init__(self, key, model_name, base_url=''):
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def __init__(self, key, model_name, base_url=''):
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from groq import Groq
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self.client = Groq(api_key=key)
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self.client = Groq(api_key=key)
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self.model_name = model_name
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self.model_name = model_name
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@ -299,8 +299,6 @@ class SparkTTS:
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yield audio_chunk
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yield audio_chunk
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class XinferenceTTS:
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class XinferenceTTS:
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def __init__(self, key, model_name, **kwargs):
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def __init__(self, key, model_name, **kwargs):
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self.base_url = kwargs.get("base_url", None)
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self.base_url = kwargs.get("base_url", None)
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@ -330,3 +328,30 @@ class XinferenceTTS:
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for chunk in response.iter_content(chunk_size=1024):
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for chunk in response.iter_content(chunk_size=1024):
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if chunk:
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if chunk:
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yield chunk
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yield chunk
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class OllamaTTS(Base):
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def __init__(self, key, model_name="ollama-tts", base_url="https://api.ollama.ai/v1"):
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if not base_url:
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base_url = "https://api.ollama.ai/v1"
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self.model_name = model_name
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self.base_url = base_url
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self.headers = {
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"Content-Type": "application/json"
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}
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def tts(self, text, voice="standard-voice"):
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payload = {
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"model": self.model_name,
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"voice": voice,
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"input": text
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}
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response = requests.post(f"{self.base_url}/audio/tts", headers=self.headers, json=payload, stream=True)
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if response.status_code != 200:
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raise Exception(f"**Error**: {response.status_code}, {response.text}")
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for chunk in response.iter_content():
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if chunk:
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yield chunk
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@ -19,7 +19,7 @@ import traceback
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from api.db.db_models import close_connection
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from api.db.db_models import close_connection
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from api.db.services.task_service import TaskService
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from api.db.services.task_service import TaskService
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from rag.utils.storage_factory import STORAGE_IMPL
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from rag.utils.minio_conn import MINIOs
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from rag.utils.redis_conn import REDIS_CONN
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from rag.utils.redis_conn import REDIS_CONN
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@ -31,6 +31,7 @@ def collect():
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return
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return
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return doc_locations
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return doc_locations
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def main():
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def main():
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locations = collect()
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locations = collect()
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if not locations:
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if not locations:
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@ -43,7 +44,7 @@ def main():
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key = "{}/{}".format(kb_id, loc)
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key = "{}/{}".format(kb_id, loc)
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if REDIS_CONN.exist(key):
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if REDIS_CONN.exist(key):
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continue
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continue
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file_bin = STORAGE_IMPL.get(kb_id, loc)
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file_bin = MINIOs.get(kb_id, loc)
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REDIS_CONN.transaction(key, file_bin, 12 * 60)
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REDIS_CONN.transaction(key, file_bin, 12 * 60)
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logging.info("CACHE: {}".format(loc))
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logging.info("CACHE: {}".format(loc))
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except Exception as e:
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except Exception as e:
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@ -52,7 +53,6 @@ def main():
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traceback.print_stack(e)
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traceback.print_stack(e)
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if __name__ == "__main__":
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if __name__ == "__main__":
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while True:
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while True:
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main()
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main()
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