tmp

zhaoqingang

2025-02-18 a7edbb743cc26d1daafbb0c48ce584b1964a5c5f

 app/service/v2/chat.py

@@ -1,16 +1,21 @@
import io
import json

import fitz

from Log import logger
from app.config.agent_base_url import RG_CHAT_DIALOG, DF_CHAT_AGENT, DF_CHAT_PARAMETERS, RG_CHAT_SESSIONS, \
    DF_CHAT_WORKFLOW
    DF_CHAT_WORKFLOW, DF_UPLOAD_FILE
from app.config.config import settings
from app.config.const import *
from app.models import DialogModel, ApiTokenModel
from app.models import DialogModel, ApiTokenModel, UserTokenModel
from app.models.v2.session_model import ChatSessionDao, ChatData
from app.service.v2.app_driver.chat_agent import ChatAgent
from app.service.v2.app_driver.chat_data import ChatBaseApply
from app.service.v2.app_driver.chat_dialog import ChatDialog
from app.service.v2.app_driver.chat_workflow import ChatWorkflow
from docx import Document
from dashscope import get_tokenizer  # dashscope版本 >= 1.14.0


async def update_session_log(db, session_id: str, message: dict, conversation_id: str):
@@ -40,12 +45,29 @@
        logger.error(e)
    return None

async def get_app_token(db, app_id):
    app_token = db.query(UserTokenModel).filter_by(id=app_id).first()
    if app_token:
        return app_token.access_token
    return ""



async def get_chat_token(db, app_id):
    app_token = db.query(ApiTokenModel).filter_by(app_id=app_id).first()
    if app_token:
        return app_token.token
    return ""


async def add_chat_token(db, data):
    try:
        api_token = ApiTokenModel(**data)
        db.add(api_token)
        db.commit()
    except Exception as e:
        logger.error(e)



async def get_chat_info(db, chat_id: str):
@@ -102,7 +124,7 @@
        logger.error(e)
        try:
            yield "data: " + json.dumps({"message": smart_message_error,
                                         "error": "**ERROR**: " + str(e), "status": http_500},
                                         "error": "\n**ERROR**: " + str(e), "status": http_500},
                                        ensure_ascii=False) + "\n\n"
        except:
            ...
@@ -168,6 +190,7 @@
                data = ans.get("data", {})
                event = smart_workflow_finished
                node_list.append(ans)

            elif ans.get("event") == message_end:
                event = smart_message_end
            else:
@@ -182,7 +205,7 @@
        logger.error(e)
        try:
            yield "data: " + json.dumps({"message": smart_message_error,
                                         "error": "**ERROR**: " + str(e), "status": http_500},
                                         "error": "\n**ERROR**: " + str(e), "status": http_500},
                                        ensure_ascii=False) + "\n\n"
        except:
            ...
@@ -192,7 +215,7 @@
                                                  "error": error}, conversation_id)


async def service_chat_basic(db, chat_id: str, question: str, session_id: str, user_id):
async def service_chat_basic(db, chat_id: str, chat_data: ChatData, session_id: str, user_id, mode: str):
    ...


@@ -200,21 +223,22 @@
    chat_info = db.query(DialogModel).filter_by(id=chat_id).first()
    if not chat_info:
        return {}
    if chat_info.dialog_type == RG_TYPE:
        return {"retriever_resource":
            {
                "enabled": True
            }
        }
    elif chat_info.dialog_type == BASIC_TYPE:
        ...
    elif chat_info.dialog_type == DF_TYPE:
        token = await get_chat_token(db, chat_id)
        if not token:
            return {}
        url = settings.dify_base_url + DF_CHAT_PARAMETERS
        chat = ChatBaseApply()
        return await chat.chat_get(url, {"user": str(user_id)}, await chat.get_headers(token))
    return chat_info.parameters
    # if chat_info.dialog_type == RG_TYPE:
    #     return {"retriever_resource":
    #         {
    #             "enabled": True
    #         }
    #     }
    # elif chat_info.dialog_type == BASIC_TYPE:
    #     ...
    # elif chat_info.dialog_type == DF_TYPE:
    #     token = await get_chat_token(db, chat_id)
    #     if not token:
    #         return {}
    #     url = settings.dify_base_url + DF_CHAT_PARAMETERS
    #     chat = ChatBaseApply()
    #     return await chat.chat_get(url, {"user": str(user_id)}, await chat.get_headers(token))


async def service_chat_sessions(db, chat_id, name):
@@ -224,3 +248,73 @@
    url = settings.fwr_base_url + RG_CHAT_SESSIONS.format(chat_id)
    chat = ChatDialog()
    return await chat.chat_sessions(url, {"name": name}, await chat.get_headers(token))


async def service_chat_upload(db, chat_id, file, user_id):
    files = []
    token = await get_chat_token(db, chat_id)
    if not token:
        return files
    url = settings.dify_base_url + DF_UPLOAD_FILE
    chat = ChatBaseApply()
    for f in file:
        try:
            file_content = await f.read()
            file_upload = await chat.chat_upload(url, {"file": (f.filename, file_content)}, {"user": str(user_id)},
                                                 {'Authorization': f'Bearer {token}'})
            try:
                tokens = await read_file(file_content, f.filename, f.content_type)
                file_upload["tokens"] = tokens
            except:
                ...
            files.append(file_upload)
        except Exception as e:
            logger.error(e)
    return json.dumps(files) if files else ""


async def get_str_token(input_str):
    # 获取tokenizer对象，目前只支持通义千问系列模型
    tokenizer = get_tokenizer('qwen-turbo')
    # 将字符串切分成token并转换为token id
    tokens = tokenizer.encode(input_str)
    # print(f"经过切分后的token id为：{tokens}。")
    # # 经过切分后的token id为： [31935, 64559, 99320, 56007, 100629, 104795, 99788, 1773]
    # print(f"经过切分后共有{len(tokens)}个token")
    # # 经过切分后共有8个token
    #
    # # 将token id转化为字符串并打印出来
    # for i in range(len(tokens)):
    #     print(f"token id为{tokens[i]}对应的字符串为：{tokenizer.decode(tokens[i])}")
    return len(tokens)

async def read_pdf(pdf_stream):
    text = ""
    with fitz.open(stream=pdf_stream, filetype="pdf") as pdf_document:
        for page in pdf_document:
            text += page.get_text()
    return text


async def read_word(word_stream):
    # 使用 python-docx 打开 Word 文件流
    doc = Document(io.BytesIO(word_stream))

    # 提取每个段落的文本
    text = ""
    for para in doc.paragraphs:
        text += para.text

    return text

async def read_file(file, filename, content_type):
    text = ""
    if content_type == "application/pdf" or filename.endswith('.pdf'):

        # 提取 PDF 内容
        text = await read_pdf(file)
    elif content_type == "application/vnd.openxmlformats-officedocument.wordprocessingml.document" or filename.endswith(
            '.docx'):
        text = await read_word(file)

    return await get_str_token(text)