581 lines
26 KiB
Python
581 lines
26 KiB
Python
from fastapi import FastAPI, HTTPException, BackgroundTasks, Request
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from fastapi.responses import JSONResponse, StreamingResponse, FileResponse
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from fastapi.middleware.cors import CORSMiddleware
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from pydantic import BaseModel
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from kafka import KafkaProducer
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import json
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import asyncio
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import redis
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import os
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import time
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import uuid
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from dotenv import load_dotenv
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import requests
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from typing import List
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from pydub import AudioSegment
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from datetime import datetime, timezone
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from fastapi.staticfiles import StaticFiles
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# 加载 .env 文件
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load_dotenv()
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app = FastAPI()
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user_app = FastAPI()
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app.mount("/user", user_app)
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# 允许跨域请求
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"], # 允许所有源，您可能想要限制这个
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# Kafka 设置
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KAFKA_BROKER = os.getenv('KAFKA_BROKER')
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KAFKA_TTS_TOPIC = os.getenv('KAFKA_TTS_TOPIC')
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# Redis 设置
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REDIS_HOST = os.getenv('REDIS_HOST')
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REDIS_PORT = int(os.getenv('REDIS_PORT'))
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REDIS_PASSWORD = os.getenv('REDIS_PASSWORD')
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REDIS_TASK_DB = int(os.getenv('REDIS_TASK_DB'))
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REDIS_SESSION_DB_ZH = int(os.getenv('REDIS_SESSION_DB_ZH'))
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REDIS_SESSION_DB_EN = int(os.getenv('REDIS_SESSION_DB_EN'))
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REDIS_SESSION_DB_KO = int(os.getenv('REDIS_SESSION_DB_KO'))
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# 创建Redis任务客户端
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redis_task_client = redis.Redis(
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host=REDIS_HOST,
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port=REDIS_PORT,
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db=REDIS_TASK_DB,
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password=REDIS_PASSWORD
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)
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# 为不同语言创建Redis会话客户端
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redis_session_clients = {
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'zh': redis.Redis(host=REDIS_HOST, port=REDIS_PORT, db=REDIS_SESSION_DB_ZH, password=REDIS_PASSWORD),
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'en': redis.Redis(host=REDIS_HOST, port=REDIS_PORT, db=REDIS_SESSION_DB_EN, password=REDIS_PASSWORD),
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'ko': redis.Redis(host=REDIS_HOST, port=REDIS_PORT, db=REDIS_SESSION_DB_KO, password=REDIS_PASSWORD)
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}
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# 为不同的语音创建Redis客户端
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voice_to_redis = {
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'girl': redis.Redis(host=REDIS_HOST, port=REDIS_PORT, db=int(os.getenv('REDIS_GIRL_DB')), password=REDIS_PASSWORD),
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'woman': redis.Redis(host=REDIS_HOST, port=REDIS_PORT, db=int(os.getenv('REDIS_WOMAN_DB')), password=REDIS_PASSWORD),
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'man': redis.Redis(host=REDIS_HOST, port=REDIS_PORT, db=int(os.getenv('REDIS_MAN_DB')), password=REDIS_PASSWORD),
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'leijun': redis.Redis(host=REDIS_HOST, port=REDIS_PORT, db=int(os.getenv('REDIS_LEIJUN_DB')), password=REDIS_PASSWORD),
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'dufu': redis.Redis(host=REDIS_HOST, port=REDIS_PORT, db=int(os.getenv('REDIS_DUFU_DB')), password=REDIS_PASSWORD),
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'hejiong': redis.Redis(host=REDIS_HOST, port=REDIS_PORT, db=int(os.getenv('REDIS_HEJIONG_DB')), password=REDIS_PASSWORD),
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'mahuateng': redis.Redis(host=REDIS_HOST, port=REDIS_PORT, db=int(os.getenv('REDIS_MAHUATENG_DB')), password=REDIS_PASSWORD),
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'lidan': redis.Redis(host=REDIS_HOST, port=REDIS_PORT, db=int(os.getenv('REDIS_LIDAN_DB')), password=REDIS_PASSWORD),
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'luoxiang': redis.Redis(host=REDIS_HOST, port=REDIS_PORT, db=int(os.getenv('REDIS_LUOXIANG_DB')), password=REDIS_PASSWORD),
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'xuzhiyuan': redis.Redis(host=REDIS_HOST, port=REDIS_PORT, db=int(os.getenv('REDIS_XUZHIYUAN_DB')), password=REDIS_PASSWORD),
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'dabing': redis.Redis(host=REDIS_HOST, port=REDIS_PORT, db=int(os.getenv('REDIS_DABING_DB')), password=REDIS_PASSWORD),
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'yuhua': redis.Redis(host=REDIS_HOST, port=REDIS_PORT, db=int(os.getenv('REDIS_YUHUA_DB')), password=REDIS_PASSWORD),
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'liuzhenyun': redis.Redis(host=REDIS_HOST, port=REDIS_PORT, db=int(os.getenv('REDIS_LIUZHENYUAN_DB')), password=REDIS_PASSWORD)
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}
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# 音频文件径
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AUDIO_BASE_PATH = "/obscura/task/audio_files"
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AVATAR_BASE_PATH = "/obscura/task/avatar"
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# 定义JSON文件存储路径
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TEAM_MEMBERS_PATH = "team_members"
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# 定义角色名称到文件名的映射
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ROLE_TO_FILENAME = {
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"技术专家": "tech_expert",
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"创意专家": "creative",
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"数据分析专家": "dataanalyst",
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"项目规划专家": "pragmatist",
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"市场营销专家": "marketing_expert",
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"财务专家": "financial_expert",
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"马化腾": "mahuateng",
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"李诞": "lidan",
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"罗翔": "luoxiang",
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"许知远": "xuzhiyuan",
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"大冰": "dabing",
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"余华": "yuhua",
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"刘震云": "liuzhenyun",
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"雷军": "leijun"
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}
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def load_team_members(language='zh', selected_roles=None):
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team_members = {}
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# 添加主持人信息
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leader_info = {
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'name': {
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'zh': '何主持',
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'en': 'Host He',
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'ko': '사회자 허'
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},
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'post': {
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'zh': '主持人',
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'en': 'Host',
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'ko': '사회자'
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},
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'voice': 'hejiong',
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'avatar': 'cn__00138_.png',
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'personality': {
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'zh': """经验丰富，专门负责引导六人跨部门小组的头脑风暴会议。你的任务是有效地主持讨论，基于我提出的具体问题展开对话。请记住，你的回应和引导必须简洁明了。
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作为主持人，你应该：
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用简短的话语开场，迅速将注意力集中到我提出的问题上,
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你的目标是通过简洁有力的引导，创造一个富有成效的讨论环境，让每个团队成员都能围绕我提出的问题贡献有价值的见解。""",
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'en': """Experienced in guiding brainstorming sessions for a six-person cross-departmental team. Your task is to effectively moderate the discussion based on the specific questions I raise. Remember, your responses and guidance must be concise and clear.
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As the host, you should:
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Open with brief remarks, quickly focusing attention on the question I've posed,
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Your goal is to create a productive discussion environment through concise and powerful guidance, allowing each team member to contribute valuable insights around the question I've raised.""",
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'ko': """6인 부서 간 팀의 브레인스토밍 회의를 이끄는 데 경험이 풍부합니다. 당신의 임무는 내가 제기한 구체적인 질문을 바탕으로 토론을 효과적으로 진행하는 것입니다. 당신의 응답과 안내는 간결하고 명확해야 함을 기억하세요.
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사회자로서 당신은:
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간단한 말로 시작하여 내가 제기한 질문에 빠르게 주의를 집중시켜야 합니다,
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당신의 목표는 간결하고 강력한 안내를 통해 생산적인 토론 환경을 만들어, 각 팀원이 내가 제기한 질문에 대해 가치 있는 통찰력을 기여할 수 있도록 하는 것입니다."""
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}
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}
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if selected_roles is None or '主持人' in selected_roles:
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team_members['主持人'] = {
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'name': leader_info['name'][language],
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'post': leader_info['post'][language],
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'voice': leader_info['voice'],
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'avatar': leader_info['avatar'],
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'personality': leader_info['personality'][language]
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}
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lang_path = os.path.join(TEAM_MEMBERS_PATH, language)
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# 如果没有指定角色，加载所有角色（除了主持人）
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roles_to_load = selected_roles if selected_roles else list(ROLE_TO_FILENAME.keys())
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for role in roles_to_load:
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if role != '主持人' and role in ROLE_TO_FILENAME:
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filename = f"{ROLE_TO_FILENAME[role]}.json"
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file_path = os.path.join(lang_path, filename)
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if os.path.exists(file_path):
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with open(file_path, 'r', encoding='utf-8') as file:
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member_data = json.load(file)
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team_members[role] = member_data
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return team_members
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# 创建Kafka生产者
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producer = KafkaProducer(
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bootstrap_servers=KAFKA_BROKER,
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value_serializer=lambda v: json.dumps(v).encode('utf-8')
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)
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class DiscussionRequest(BaseModel):
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topic: str
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max_rounds: int
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session_id: str
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selected_roles: List[str]
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language: str # 新增语言字段
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async def get_ai_response(prompt, model='qwen2.5:32b', language='zh'):
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language_prompts = {
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'zh': "请用中文回答以下问题:",
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'en': "Please answer the following question in English:",
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'ko': "다음 질문에 한국어로 답해주세요:"
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}
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lang_prompt = language_prompts.get(language, language_prompts['zh'])
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data = {
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"model": model,
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"prompt": f"{lang_prompt}\n\n{prompt}",
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"stream": True,
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"temperature": 0.7
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}
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response = requests.post("https://ffgregevrdcfyhtnhyudvr.myfastools.com/api/generate", json=data, stream=True)
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response.raise_for_status()
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text_output = ""
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for line in response.iter_lines():
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if line:
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json_data = json.loads(line)
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if 'response' in json_data:
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text_output += json_data['response']
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return text_output
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async def wait_for_audio_file(task_id, timeout=30):
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start_time = time.time()
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while time.time() - start_time < timeout:
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audio_files = [f for f in os.listdir(AUDIO_BASE_PATH) if f.startswith(task_id) and f.endswith('.wav')]
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if audio_files:
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return audio_files[0]
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await asyncio.sleep(0.5)
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return None
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async def concatenate_audio_files(audio_files, output_path):
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combined = AudioSegment.empty()
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for audio_file in audio_files:
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segment = AudioSegment.from_wav(audio_file)
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combined += segment
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combined.export(output_path, format="wav")
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async def team_discussion_generator(topic, max_rounds, selected_roles, language):
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# 加载选中的团队成员
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team_members = load_team_members(language, selected_roles)
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discussion_topics = {
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'zh': "讨论主题",
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'en': "Discussion Topic",
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'ko': "토론 주제"
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}
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topic_header = discussion_topics.get(language, discussion_topics['zh'])
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discussion = [f"{topic_header}: {topic}"]
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yield json.dumps({"topic": f"{topic_header}: {topic}\n", "audio": None})
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for round in range(max_rounds):
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for role, info in team_members.items():
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prompt = f"""你是一个团队中的{info['post']}，{info['personality']}。
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团队正在讨论以下问题："{topic}"，请用{language}语言回答
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当前讨论进展：
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{''.join(discussion)}
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请根据你的角色和特点，对这个问题发表你的看法或对其他成员的观点进行回应,在多轮讨论中,应该根据讨论历史不断优化回答。
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在回答时打招呼内容不要带有自己的角色和别人的角色,语气应避免单调和机械，尽可能口语化，回答内容保持简洁,控制在150字以内
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"""
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response = await get_ai_response(prompt, language=language)
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discussion.append(f"\n{info['name']}（{info['post']}）：{response}")
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# 生成语音
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tts_task_id = str(uuid.uuid4())
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producer.send(KAFKA_TTS_TOPIC, {
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'task_id': tts_task_id,
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'text': response,
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'text_hash': tts_task_id,
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'voice': info['voice']
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})
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# 等待音频生成完成
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while True:
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task_status = redis_task_client.get(f"task_status:tts:{tts_task_id}")
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if task_status:
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status = task_status.decode('utf-8')
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if status == "completed":
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task_info = redis_task_client.get(f"task_info:tts:{tts_task_id}")
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if task_info:
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task_data = json.loads(task_info)
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text_hash = task_data['text_hash']
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voice = task_data['voice']
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redis_tts = voice_to_redis[voice]
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audio_info = redis_tts.get(f"tts:{text_hash}")
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if audio_info:
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audio_path = json.loads(audio_info)['path']
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output = {
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"post": f"{info['post']}",
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"chunk": f"{info['name']}：{response}",
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"audio_task_id": tts_task_id,
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"avatar": info['avatar'] # 添加头像信息
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}
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print(json.dumps({
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"type": "output",
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"content": output
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}, ensure_ascii=False, indent=2))
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yield json.dumps(output)
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break
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elif status == "failed":
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output = {
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"post": f"{info['post']}",
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"chunk": f"{info['name']}：{response}",
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"audio": None,
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"avatar": info['avatar'] # 添加头像信息
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}
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yield json.dumps(output)
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break
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await asyncio.sleep(0.5)
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# 让主持人结束讨论
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leader_info = team_members['主持人']
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summary_prompts = {
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'zh': "作为主持人，请用中文总结团队的讨论并给出最终的结论或建议。",
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'en': "As the moderator, please summarize the team's discussion in English and provide final conclusions or recommendations.",
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'ko': "사회자로서 팀 토론을 한국어로 요약하고 최종 결론이나 권장 사항을 제시해 주세요."
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}
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summary_prompt = f"""{summary_prompts.get(language, summary_prompts['zh'])}讨论内容如下：
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{''.join(discussion)}
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你应该:
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保持客观性,不添加个人观点或偏见;
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使用简洁明了的语言,避免冗长或重复;
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保留每个角色关键信息和主要论点;
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按照逻辑顺序组织信息,使总结易于理解;
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根据文本的长度和复杂程度,调整总结的详细程度;
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提供项目规划专家的流程图。
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"""
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summary = await get_ai_response(summary_prompt, language=language)
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discussion.append(f"\n总结：{summary}")
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# 生成总结的语音
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summary_tts_task_id = str(uuid.uuid4())
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producer.send(KAFKA_TTS_TOPIC, {
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'task_id': summary_tts_task_id,
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'text': summary,
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'text_hash': summary_tts_task_id,
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'voice': leader_info['voice']
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})
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# 等待总结音频生成完成
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summary_audio_generated = False
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while not summary_audio_generated:
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task_status = redis_task_client.get(f"task_status:tts:{summary_tts_task_id}")
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if task_status:
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status = task_status.decode('utf-8')
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||
if status == "completed":
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task_info = redis_task_client.get(f"task_info:tts:{summary_tts_task_id}")
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if task_info:
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task_data = json.loads(task_info)
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text_hash = task_data['text_hash']
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voice = task_data['voice']
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redis_tts = voice_to_redis[voice]
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audio_info = redis_tts.get(f"tts:{text_hash}")
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if audio_info:
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audio_path = json.loads(audio_info)['path']
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summary_json = {
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"post": leader_info['post'],
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"chunk": f"{leader_info['name']}：{summary}",
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"audio_task_id": summary_tts_task_id,
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"avatar": leader_info['avatar']
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}
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print(summary_json)
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||
yield json.dumps(summary_json)
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||
summary_audio_generated = True
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elif status == "failed":
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||
summary_json = {
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"post": leader_info['post'],
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"chunk": f"{leader_info['name']}：{summary}",
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"audio_task_id": None,
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||
"avatar": leader_info['avatar']
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}
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yield json.dumps(summary_json)
|
||
summary_audio_generated = True
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await asyncio.sleep(0.5)
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||
|
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completion_json = {"chunk": "[DISCUSSION_COMPLETED]", "audio_task_id": summary_tts_task_id}
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print(f"发送讨论完成信号: {json.dumps(completion_json)}") # 打印讨论完成信号
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yield json.dumps(completion_json)
|
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async def discussion_stream(topic: str, max_rounds: int, session_id: str, selected_roles: List[str], language: str):
|
||
discussion_content = []
|
||
audio_files = []
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async for chunk in team_discussion_generator(topic, max_rounds, selected_roles, language):
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||
chunk_data = json.loads(chunk)
|
||
if "topic" in chunk_data:
|
||
yield f"data: {chunk}\n\n".encode('utf-8')
|
||
elif "chunk" in chunk_data:
|
||
if chunk_data["chunk"] == "[DISCUSSION_COMPLETED]":
|
||
# Concatenate audio files
|
||
output_path = os.path.join(AUDIO_BASE_PATH, f"{session_id}_combined.wav")
|
||
await concatenate_audio_files(audio_files, output_path)
|
||
|
||
# 保存讨论内容到对应语言的 Redis
|
||
discussion = {
|
||
"topic": topic,
|
||
"content": discussion_content,
|
||
"timestamp": int(datetime.now(timezone.utc).timestamp()), # Current timestamp in seconds
|
||
"combined_audio_path": output_path,
|
||
"language": language
|
||
}
|
||
redis_session_clients[language].set(session_id, json.dumps(discussion))
|
||
print(f"讨论内容已保存到 {language} 数据库，合并音频路径: {output_path}")
|
||
completion = {"chunk": "[AUDIO_COMPLETED]"}
|
||
yield json.dumps(completion)
|
||
break
|
||
else:
|
||
discussion_content.append(chunk_data)
|
||
if "audio_task_id" in chunk_data and chunk_data["audio_task_id"]:
|
||
audio_path = await get_audio_path(chunk_data["audio_task_id"])
|
||
if audio_path:
|
||
audio_files.append(audio_path)
|
||
yield f"data: {chunk}\n\n".encode('utf-8')
|
||
else:
|
||
# 处理其他可能的数据结构
|
||
discussion_content.append(chunk_data)
|
||
yield f"data: {chunk}\n\n".encode('utf-8')
|
||
|
||
async def get_audio_path(task_id):
|
||
task_info = redis_task_client.get(f"task_info:tts:{task_id}")
|
||
if task_info:
|
||
task_data = json.loads(task_info)
|
||
voice = task_data['voice']
|
||
redis_tts = voice_to_redis[voice]
|
||
audio_info = redis_tts.get(f"tts:{task_data['text_hash']}")
|
||
if audio_info:
|
||
return json.loads(audio_info)['path']
|
||
return None
|
||
|
||
@user_app.get("/api/start-discussion")
|
||
@user_app.post("/api/start-discussion")
|
||
async def start_discussion(request: DiscussionRequest):
|
||
if not request.topic:
|
||
raise HTTPException(status_code=400, detail="Topic is required")
|
||
if not request.session_id:
|
||
raise HTTPException(status_code=400, detail="Session ID is required")
|
||
if not request.selected_roles:
|
||
raise HTTPException(status_code=400, detail="At least one role must be selected")
|
||
if not request.language or request.language not in ['zh', 'en', 'ko']:
|
||
request.language = 'zh' # 默认使用中文
|
||
|
||
# 根据选择的语言和角色加载团队成员信息
|
||
global TEAM_MEMBERS
|
||
TEAM_MEMBERS = load_team_members(request.language)
|
||
|
||
return StreamingResponse(
|
||
discussion_stream(request.topic, request.max_rounds, request.session_id, request.selected_roles, request.language),
|
||
media_type="text/event-stream"
|
||
)
|
||
|
||
# 获取指定任务ID的音频文件路径
|
||
@user_app.get("/api/get-audio/{task_id}", response_model=List[str])
|
||
async def get_audio(task_id: str):
|
||
# 从Redis中获取任务状态
|
||
task_status = redis_task_client.get(f"task_status:tts:{task_id}")
|
||
if task_status:
|
||
status = task_status.decode('utf-8')
|
||
if status == "completed":
|
||
# 如果任务已完成，获取任务信息
|
||
task_info = redis_task_client.get(f"task_info:tts:{task_id}")
|
||
if task_info:
|
||
task_data = json.loads(task_info)
|
||
voice = task_data['voice']
|
||
redis_tts = voice_to_redis[voice]
|
||
# 从Redis中获取音频信息
|
||
audio_info = redis_tts.get(f"tts:{task_data['text_hash']}")
|
||
if audio_info:
|
||
audio_path = json.loads(audio_info)['path']
|
||
# 检查音频文件是否存在
|
||
if os.path.exists(audio_path):
|
||
# 返回音频文件的URL路径
|
||
return [f"/audio/{os.path.basepost(audio_path)}"]
|
||
elif status == "queued" or status == "processing":
|
||
# 如果任务正在队列中或处理中，返回202状态码
|
||
raise HTTPException(status_code=202, detail="音频文件正在生成中")
|
||
else:
|
||
# 如果任务状态异常，返回500错误
|
||
raise HTTPException(status_code=500, detail="任务处理失败")
|
||
|
||
# 如果任务不存在，返回404错误
|
||
raise HTTPException(status_code=404, detail="任务不存在")
|
||
|
||
# 提供音频文件的下载服务
|
||
@user_app.get("/api/get-combined-audio/{session_id}")
|
||
async def get_combined_audio(session_id: str, language: str = 'zh'):
|
||
if language not in redis_session_clients:
|
||
raise HTTPException(status_code=400, detail="Unsupported language")
|
||
|
||
session_data = redis_session_clients[language].get(session_id)
|
||
if session_data:
|
||
session_info = json.loads(session_data.decode('utf-8'))
|
||
audio_path = session_info.get("combined_audio_path")
|
||
print(audio_path)
|
||
if audio_path and os.path.exists(audio_path):
|
||
return FileResponse(audio_path, media_type="audio/wav", filename=f"{session_id}_combined.wav")
|
||
raise HTTPException(status_code=404, detail="Combined audio not found")
|
||
|
||
# 获取可用的音色列表
|
||
@user_app.get("/getvoice")
|
||
async def get_available_voices():
|
||
# 定义有效的音色列表
|
||
valid_voices = ["default", "girl", "woman", "man", "leijun", "dufu", "haimian", "mahua", "xiaoxin"]
|
||
# 返回可用的音色列表
|
||
return {"available_voices": valid_voices}
|
||
|
||
@user_app.get("/tts_result/{task_id}")
|
||
async def get_tts_result(task_id: str):
|
||
task_status = redis_task_client.get(f"task_status:tts:{task_id}")
|
||
if task_status:
|
||
status = task_status.decode('utf-8')
|
||
return {"status": status}
|
||
else:
|
||
raise HTTPException(status_code=404, detail="任务不存在")
|
||
|
||
@user_app.get("/tts_audio/{task_id}")
|
||
async def get_tts_audio(task_id: str):
|
||
task_info = redis_task_client.get(f"task_info:tts:{task_id}")
|
||
if task_info:
|
||
task_data = json.loads(task_info)
|
||
text_hash = task_data['text_hash']
|
||
voice = task_data['voice']
|
||
redis_tts = voice_to_redis[voice]
|
||
|
||
audio_info = redis_tts.get(f"tts:{text_hash}")
|
||
if audio_info:
|
||
audio_path = json.loads(audio_info)['path']
|
||
return FileResponse(audio_path, media_type="audio/wav")
|
||
|
||
raise HTTPException(status_code=404, detail="音频文件不存在")
|
||
|
||
@user_app.get("/api/get-discussion/{session_id}")
|
||
async def get_discussion(session_id: str, language: str = 'zh'):
|
||
if language not in redis_session_clients:
|
||
raise HTTPException(status_code=400, detail="Unsupported language")
|
||
|
||
discussion_content = redis_session_clients[language].get(session_id)
|
||
if discussion_content:
|
||
try:
|
||
discussion_data = json.loads(discussion_content)
|
||
return JSONResponse(content=discussion_data)
|
||
except json.JSONDecodeError:
|
||
raise HTTPException(status_code=500, detail="Invalid JSON data in Redis")
|
||
raise HTTPException(status_code=404, detail="Discussion not found")
|
||
|
||
@user_app.get("/api/get-session-id")
|
||
async def get_session_id(language: str = 'zh'):
|
||
if language not in redis_session_clients:
|
||
raise HTTPException(status_code=400, detail="Unsupported language")
|
||
|
||
redis_client = redis_session_clients[language]
|
||
result = []
|
||
try:
|
||
all_keys = redis_client.keys('*')
|
||
session_ids = [key.decode('utf-8') for key in all_keys]
|
||
|
||
for session_id in session_ids:
|
||
value = redis_client.get(session_id)
|
||
if value:
|
||
value_json = json.loads(value.decode('utf-8'))
|
||
|
||
if isinstance(value_json, dict) and 'topic' in value_json and 'timestamp' in value_json:
|
||
topic = value_json['topic']
|
||
utc_time = datetime.fromtimestamp(value_json['timestamp'], tz=timezone.utc)
|
||
timestamp = utc_time.strftime("%Y-%m-%d %H:%M:%S UTC")
|
||
result.append({
|
||
"session_id": session_id,
|
||
"topic": topic,
|
||
"timestamp": timestamp,
|
||
"language": language
|
||
})
|
||
except Exception as e:
|
||
print(f"Error fetching {language} session data: {e}")
|
||
raise HTTPException(status_code=500, detail=f"Error fetching session data for {language}")
|
||
|
||
if not result:
|
||
raise HTTPException(status_code=404, detail=f"No session data found for {language}")
|
||
|
||
return JSONResponse(content={"sessions": result})
|
||
|
||
# 确保这个路径是正确的，并且文件夹存在
|
||
AVATAR_BASE_PATH = "/obscura/task/avatar"
|
||
|
||
# 在挂载之前添加一些调试信息
|
||
print(f"Avatar base path: {AVATAR_BASE_PATH}")
|
||
print(f"Avatar directory exists: {os.path.exists(AVATAR_BASE_PATH)}")
|
||
print(f"Avatar directory contents: {os.listdir(AVATAR_BASE_PATH)}")
|
||
|
||
# 将头像文件夹挂载到 /avatar 路径
|
||
user_app.mount("/avatar", StaticFiles(directory=AVATAR_BASE_PATH), name="avatar")
|
||
|
||
|
||
|
||
if __name__ == "__main__":
|
||
import uvicorn
|
||
uvicorn.run(app, host="0.0.0.0", port=8000) |