Initial commit: clean project structure
- Backend: FastAPI + SQLAlchemy + Celery (Python 3.11+) - Frontend: Vue 3 + TypeScript + Pinia + Tailwind - Admin Frontend: separate Vue 3 app for management - Docker Compose: 9 services orchestration - Specs: design prototypes, memory system PRD, product roadmap Cleanup performed: - Removed temporary debug scripts from backend root - Removed deprecated admin_app.py (embedded UI) - Removed duplicate docs from admin-frontend - Updated .gitignore for Vite cache and egg-info
This commit is contained in:
0
backend/app/core/__init__.py
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0
backend/app/core/__init__.py
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72
backend/app/core/admin_auth.py
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72
backend/app/core/admin_auth.py
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@@ -0,0 +1,72 @@
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import secrets
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import time
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from cachetools import TTLCache
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from fastapi import Depends, HTTPException, Request, status
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from fastapi.security import HTTPBasic, HTTPBasicCredentials
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from app.core.config import settings
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security = HTTPBasic()
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# 登录失败记录:IP -> (失败次数, 首次失败时间)
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_failed_attempts: TTLCache[str, tuple[int, float]] = TTLCache(maxsize=1000, ttl=900) # 15分钟
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MAX_ATTEMPTS = 5
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LOCKOUT_SECONDS = 900 # 15分钟
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def _get_client_ip(request: Request) -> str:
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forwarded = request.headers.get("x-forwarded-for")
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if forwarded:
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return forwarded.split(",")[0].strip()
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if request.client and request.client.host:
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return request.client.host
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return "unknown"
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def admin_guard(
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request: Request,
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credentials: HTTPBasicCredentials = Depends(security),
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):
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client_ip = _get_client_ip(request)
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# 检查是否被锁定
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if client_ip in _failed_attempts:
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attempts, first_fail = _failed_attempts[client_ip]
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if attempts >= MAX_ATTEMPTS:
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remaining = int(LOCKOUT_SECONDS - (time.time() - first_fail))
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if remaining > 0:
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raise HTTPException(
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status_code=status.HTTP_429_TOO_MANY_REQUESTS,
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detail=f"登录尝试过多,请 {remaining} 秒后重试",
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)
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else:
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del _failed_attempts[client_ip]
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# 使用 secrets.compare_digest 防止时序攻击
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username_ok = secrets.compare_digest(
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credentials.username.encode(), settings.admin_username.encode()
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)
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password_ok = secrets.compare_digest(
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credentials.password.encode(), settings.admin_password.encode()
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)
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if not (username_ok and password_ok):
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# 记录失败
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if client_ip in _failed_attempts:
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attempts, first_fail = _failed_attempts[client_ip]
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_failed_attempts[client_ip] = (attempts + 1, first_fail)
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else:
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_failed_attempts[client_ip] = (1, time.time())
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raise HTTPException(
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status_code=status.HTTP_401_UNAUTHORIZED,
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detail="用户名或密码错误",
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)
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# 登录成功,清除失败记录
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if client_ip in _failed_attempts:
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del _failed_attempts[client_ip]
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return True
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33
backend/app/core/celery_app.py
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33
backend/app/core/celery_app.py
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"""Celery application setup."""
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from celery import Celery
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from celery.schedules import crontab
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from app.core.config import settings
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celery_app = Celery(
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"dreamweaver",
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broker=settings.celery_broker_url,
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backend=settings.celery_result_backend,
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)
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celery_app.conf.update(
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task_track_started=True,
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task_serializer="json",
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accept_content=["json"],
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result_serializer="json",
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timezone="Asia/Shanghai",
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enable_utc=True,
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beat_schedule={
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"check_push_notifications": {
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"task": "app.tasks.push_notifications.check_push_notifications",
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"schedule": crontab(minute="*/15"),
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},
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"prune_expired_memories": {
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"task": "app.tasks.memory.prune_memories_task",
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"schedule": crontab(minute="0", hour="3"), # Daily at 03:00
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},
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},
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)
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celery_app.autodiscover_tasks(["app.tasks"])
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76
backend/app/core/config.py
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76
backend/app/core/config.py
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from pydantic import Field, model_validator
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class Settings(BaseSettings):
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"""应用全局配置"""
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model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8")
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# 应用基础配置
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app_name: str = "DreamWeaver"
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debug: bool = False
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secret_key: str = Field(..., description="JWT 签名密钥")
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base_url: str = Field("http://localhost:8000", description="后端对外回调地址")
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# 数据库
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database_url: str = Field(..., description="SQLAlchemy async URL")
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# OAuth - GitHub
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github_client_id: str = ""
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github_client_secret: str = ""
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# OAuth - Google
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google_client_id: str = ""
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google_client_secret: str = ""
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# AI Capability Keys
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text_api_key: str = ""
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tts_api_base: str = ""
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tts_api_key: str = ""
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image_api_key: str = ""
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# Additional Provider API Keys
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openai_api_key: str = ""
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elevenlabs_api_key: str = ""
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cqtai_api_key: str = ""
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minimax_api_key: str = ""
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minimax_group_id: str = ""
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antigravity_api_key: str = ""
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antigravity_api_base: str = ""
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# AI Model Configuration
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text_model: str = "gemini-2.0-flash"
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tts_model: str = ""
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image_model: str = ""
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# Provider routing (ordered lists)
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text_providers: list[str] = Field(default_factory=lambda: ["gemini"])
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image_providers: list[str] = Field(default_factory=lambda: ["cqtai"])
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tts_providers: list[str] = Field(default_factory=lambda: ["minimax", "elevenlabs", "edge_tts"])
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# Celery (Redis)
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celery_broker_url: str = Field("redis://localhost:6379/0")
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celery_result_backend: str = Field("redis://localhost:6379/0")
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# Admin console
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enable_admin_console: bool = False
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admin_username: str = "admin"
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admin_password: str = "admin123" # 建议通过环境变量覆盖
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# CORS
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cors_origins: list[str] = Field(default_factory=lambda: ["http://localhost:5173"])
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@model_validator(mode="after")
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def _require_core_settings(self) -> "Settings": # type: ignore[override]
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missing = []
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if not self.secret_key or self.secret_key == "change-me-in-production":
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missing.append("SECRET_KEY")
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if not self.database_url:
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missing.append("DATABASE_URL")
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if missing:
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raise ValueError(f"Missing required settings: {', '.join(missing)}")
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return self
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settings = Settings()
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39
backend/app/core/deps.py
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39
backend/app/core/deps.py
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from fastapi import Cookie, Depends, HTTPException, status
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from sqlalchemy import select
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.core.security import decode_access_token
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from app.db.database import get_db
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from app.db.models import User
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async def get_current_user(
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access_token: str | None = Cookie(default=None),
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db: AsyncSession = Depends(get_db),
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) -> User | None:
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"""获取当前用户(可选)。"""
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if not access_token:
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return None
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payload = decode_access_token(access_token)
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if not payload:
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return None
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user_id = payload.get("sub")
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if not user_id:
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return None
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result = await db.execute(select(User).where(User.id == user_id))
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return result.scalar_one_or_none()
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async def require_user(
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user: User | None = Depends(get_current_user),
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) -> User:
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"""要求用户登录,否则抛 401。"""
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if not user:
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raise HTTPException(
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status_code=status.HTTP_401_UNAUTHORIZED,
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detail="未登录",
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)
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return user
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48
backend/app/core/logging.py
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48
backend/app/core/logging.py
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"""结构化日志配置。"""
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import logging
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import sys
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import structlog
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from app.core.config import settings
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def setup_logging():
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"""配置 structlog 结构化日志。"""
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shared_processors = [
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structlog.contextvars.merge_contextvars,
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structlog.stdlib.add_log_level,
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structlog.stdlib.add_logger_name,
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structlog.processors.TimeStamper(fmt="iso"),
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structlog.processors.StackInfoRenderer(),
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]
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if settings.debug:
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processors = shared_processors + [
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structlog.dev.ConsoleRenderer(colors=True),
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]
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else:
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processors = shared_processors + [
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structlog.processors.format_exc_info,
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structlog.processors.JSONRenderer(),
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]
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structlog.configure(
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processors=processors,
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wrapper_class=structlog.stdlib.BoundLogger,
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context_class=dict,
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logger_factory=structlog.stdlib.LoggerFactory(),
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cache_logger_on_first_use=True,
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)
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logging.basicConfig(
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format="%(message)s",
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stream=sys.stdout,
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level=logging.DEBUG if settings.debug else logging.INFO,
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)
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def get_logger(name: str) -> structlog.stdlib.BoundLogger:
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"""获取结构化日志器。"""
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return structlog.get_logger(name)
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190
backend/app/core/prompts.py
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190
backend/app/core/prompts.py
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# ruff: noqa: E501
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"""AI 提示词模板 (Modernized)"""
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# 随机元素列表:为故事注入不可预测的魔法
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RANDOM_ELEMENTS = [
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"一个会打喷嚏的云朵",
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"一本地图上找不到的神秘图书馆",
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"一只能实现小愿望的彩色蜗牛",
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"一扇通往颠倒世界的门",
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"一顶能听懂动物说话的旧帽子",
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"一个装着星星的玻璃罐",
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"一棵结满笑声果实的树",
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"一只能在水上画画的画笔",
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"一个怕黑的影子",
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"一只收集回声的瓶子",
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"一双会自己跳舞的红鞋子",
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"一个只能在月光下看见的邮筒",
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"一张会改变模样的全家福",
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"一把可以打开梦境的钥匙",
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"一个喜欢讲冷笑话的冰箱",
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"一条通往星期八的秘密小径"
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]
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# ==============================================================================
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# Model A: 故事生成 (Story Generation)
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# ==============================================================================
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SYSTEM_INSTRUCTION_STORYTELLER = """
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# Role
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You are "**Dream Weaver**", a world-class children's storyteller with the imagination of Pixar and the warmth of Miyazaki.
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Your mission is to create engaging, safe, and educational stories for children (ages 3-8).
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# Core Philosophy
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1. **Show, Don't Tell**: Don't preach the lesson. Let the character's actions and the plot demonstrate the theme.
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2. **Safety First**: No violence, horror, or scary elements. Conflict should be emotional or situational, not physical.
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3. **Vivid Imagery**: Use sensory details (colors, sounds, smells) that appeal to children.
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4. **Empowerment**: The child protagonist should solve the problem using wit, kindness, or courage, not just luck.
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# Continuity & Memory (CRITICAL)
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- **Universal Context**: The story takes place in the child's established "Story Universe". Respect existing world rules.
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- **Character Consistency**: If "Child Profile" or "Sidekicks" are provided, you MUST use their specific names and traits. Do NOT invent new main characters unless asked.
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- **Callback**: If "Past Memories" are provided, try to make a natural, one-sentence reference to a past adventure to build a sense of continuity (e.g., "Just like when we found the lost star...").
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# Output Format
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You MUST return a pure JSON object with NO markdown formatting (no ```json code blocks).
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The JSON object must have the following schema:
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{
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"mode": "generated",
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"title": "A catchy, imaginative title",
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"story_text": "The full story text. Use \\n\\n for paragraph breaks.",
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"cover_prompt_suggestion": "A detailed English image generation prompt for the story cover. Style: whimsical, children's book illustration, soft lighting, vibrant colors."
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}
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"""
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USER_PROMPT_GENERATION = """
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# Task: Write a Children's Story
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## Contextual Memory (Use these if provided)
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{memory_context}
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## Inputs
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- **Keywords/Topic**: {keywords}
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- **Educational Theme**: {education_theme}
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- **Magic Element (Must Incorporate)**: {random_element}
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## Constraints
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- Length: 300-600 words.
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- Structure: Beginning (Hook) -> Middle (Challenge) -> End (Resolution & Growth).
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"""
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# ==============================================================================
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# Model B: 故事润色 (Story Enhancement)
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# ==============================================================================
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SYSTEM_INSTRUCTION_ENHANCER = """
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# Role
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You are "**Dream Weaver Editor**", an expert children's book editor who turns rough drafts into polished gems.
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# Mission
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Analyze the user's input story and rewrite it to be:
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1. **More Engaging**: Enhance the plot with a "Magic Element" to add surprise.
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2. **More Educational**: Weave the "Educational Theme" deeper into the narrative arc.
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3. **Better Written**: Polish the sentences for rhythm and flow (suitable for reading aloud).
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4. **Safe**: Remove any inappropriate content (violence, scary interaction) and replace it with constructive solutions.
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# Output Format
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You MUST return a pure JSON object with NO markdown formatting (no ```json code blocks).
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The JSON object must have the following schema:
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{
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"mode": "enhanced",
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"title": "An improved title (or the original if perfect)",
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"story_text": "The rewritten story text. Use \\n\\n for paragraph breaks.",
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"cover_prompt_suggestion": "A detailed English image generation prompt for the cover."
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}
|
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"""
|
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USER_PROMPT_ENHANCEMENT = """
|
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# Task: Enhance This Story
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|
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## Contextual Memory
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{memory_context}
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## Inputs
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- **Original Story**: {full_story}
|
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- **Target Theme**: {education_theme}
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||||
- **Magic Element to Add**: {random_element}
|
||||
|
||||
## Constraints
|
||||
- Length: 300-600 words.
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||||
- Keep the original character names if possible, but feel free to upgrade the plot.
|
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"""
|
||||
|
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# ==============================================================================
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# Model C: 成就提取 (Achievement Extraction)
|
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# ==============================================================================
|
||||
|
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# 保持简单,暂不使用 System Instruction,沿用单次提示
|
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ACHIEVEMENT_EXTRACTION_PROMPT = """
|
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Analyze the story and extract key growth moments or achievements for the child protagonist.
|
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|
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# Story
|
||||
{story_text}
|
||||
|
||||
# Target Categories (Examples)
|
||||
- **Courage**: Overcoming fear, trying something new.
|
||||
- **Kindness**: Helping others, sharing, empathy.
|
||||
- **Curiosity**: Asking questions, exploring, learning.
|
||||
- **Resilience**: Not giving up, handling failure.
|
||||
- **Wisdom**: Problem-solving, honesty, patience.
|
||||
|
||||
# Output Format
|
||||
Return a pure JSON object (no markdown):
|
||||
{{
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||||
"achievements": [
|
||||
{{
|
||||
"type": "Category Name",
|
||||
"description": "Brief reason (max 10 words)",
|
||||
"score": 8 // 1-10 intensity
|
||||
}}
|
||||
]
|
||||
}}
|
||||
"""
|
||||
|
||||
# ==============================================================================
|
||||
# Model D: 绘本生成 (Storybook Generation)
|
||||
# ==============================================================================
|
||||
|
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SYSTEM_INSTRUCTION_STORYBOOK = """
|
||||
# Role
|
||||
You are "**Dream Weaver Illustrator**", a creative children's book author and visual director.
|
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Your mission is to create a paginated picture book for children (ages 3-8), where each page has text and a matching illustration prompt.
|
||||
|
||||
# Core Philosophy
|
||||
1. **Pacing**: The story must flow logically across the specified number of pages.
|
||||
2. **Visual Consistency**: Define the "Main Character" and "Art Style" once, and ensure all image prompts adhere to them.
|
||||
3. **Language**: The story text MUST be in **Chinese (Simplified)**. The image prompts MUST be in **English**.
|
||||
4. **Memory**: If a memory context is provided, incorporate known characters or references naturally.
|
||||
|
||||
# Output Format
|
||||
You MUST return a pure JSON object using the following schema (no markdown):
|
||||
{
|
||||
"title": "Story Title (Chinese)",
|
||||
"main_character": "Description of the protagonist (e.g., 'A small blue robot with rusty gears')",
|
||||
"art_style": "Visual style description (e.g., 'Watercolor, soft pastel colors, whimsical')",
|
||||
"pages": [
|
||||
{
|
||||
"page_number": 1,
|
||||
"text": "Page text in Chinese (30-60 chars).",
|
||||
"image_prompt": "Detailed English image prompt describing the scene. Include 'main_character' reference."
|
||||
}
|
||||
],
|
||||
"cover_prompt": "English image prompt for the book cover."
|
||||
}
|
||||
"""
|
||||
|
||||
USER_PROMPT_STORYBOOK = """
|
||||
# Task: Create a {page_count}-Page Storybook
|
||||
|
||||
## Contextual Memory
|
||||
{memory_context}
|
||||
|
||||
## Inputs
|
||||
- **Keywords/Topic**: {keywords}
|
||||
- **Educational Theme**: {education_theme}
|
||||
- **Magic Element**: {random_element}
|
||||
|
||||
## Constraints
|
||||
- Pages: Exactly {page_count} pages.
|
||||
- Structure: Intro -> Development -> Climax -> Resolution.
|
||||
"""
|
||||
25
backend/app/core/security.py
Normal file
25
backend/app/core/security.py
Normal file
@@ -0,0 +1,25 @@
|
||||
from datetime import datetime, timedelta, timezone
|
||||
|
||||
from jose import JWTError, jwt
|
||||
|
||||
from app.core.config import settings
|
||||
|
||||
ALGORITHM = "HS256"
|
||||
ACCESS_TOKEN_EXPIRE_DAYS = 7
|
||||
|
||||
|
||||
def create_access_token(data: dict) -> str:
|
||||
"""创建 JWT token"""
|
||||
to_encode = data.copy()
|
||||
expire = datetime.now(timezone.utc) + timedelta(days=ACCESS_TOKEN_EXPIRE_DAYS)
|
||||
to_encode.update({"exp": expire})
|
||||
return jwt.encode(to_encode, settings.secret_key, algorithm=ALGORITHM)
|
||||
|
||||
|
||||
def decode_access_token(token: str) -> dict | None:
|
||||
"""解码 JWT token"""
|
||||
try:
|
||||
payload = jwt.decode(token, settings.secret_key, algorithms=[ALGORITHM])
|
||||
return payload
|
||||
except JWTError:
|
||||
return None
|
||||
Reference in New Issue
Block a user