访谈与阶段 - 新增 app/agents/stage_constants.py:集中 CHAT_STAGES、章节分类/顺序、阶段到默认 memoir 类别等,与 MemoirState 默认槽位顺序对齐;减少散落在 prompts 内的重复常量。 - 新增 app/agents/chat/prompt_context.py:以 ChatPromptContext 汇总 guided 系统提示所需字段(阶段、槽位、轮次、人设、记忆证据、回复长度模式、背景声线、职业等),统一走 get_guided_conversation_prompt。 - 大幅收敛 app/agents/chat/prompts_conversation.py;调整 prompts.py、stage_prompts.py、stage_detection.py;同步 interview_agent、profile_agent、helpers 与 state_schema,使对话侧构造提示的方式一致、可测。 回忆录流水线 - memoir/prompts.py 删除已迁至 stage_constants / 独立模板的大段常量与图片占位相关逻辑;classification / extraction / fidelity / narrative agents 与 orchest(全量历史仍可用于计数,注入模型时按轮次与字符上限截断)、image_prompt_fallback_disabled。 - dependencies 增加 get_llm_provider_fast(LRU 缓存,可与默认共用密钥与 base_url)。 任务与编排 - memoir_tasks:prepare_batches 注入 llm_fast;开启独立快档模型时打结构化日志。 - chapter_cover_tasks、story_image_tasks:与图片 prompt / JSON 工具路径或策略变更对齐(import 与行为一致)。 - story_pipeline_sync 等小处同步。 其它核心 - langchain_llm、text_normalize 随上述调用链微调。 开发者体验 - .cursor/settings.json:启用 redis-development、postman 插件。 测试 - 新增 test_image_prompt_policy:覆盖「禁止回退」等图片 prompt 策略。 - 更新 test_interview_prompts、test_interview_reply_length、test_experience_regressions、test_json_and_memory_utils,匹配新常量位置、json_utils 与对话/长度行为。
199 lines
6.1 KiB
Python
199 lines
6.1 KiB
Python
"""
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全局共享依赖:
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- 认证:get_current_user / get_optional_user
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- Port DI factory:get_sms_sender / get_llm_provider / get_tts_provider / ...
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"""
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from functools import lru_cache
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from typing import Optional
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from fastapi import Depends, HTTPException, status
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from fastapi.security import OAuth2PasswordBearer
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.core.config import settings
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from app.core.db import get_async_db
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from app.core.security import verify_token
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from app.ports.asr import ASRProvider
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from app.ports.embedding import EmbeddingProvider
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from app.ports.image_gen import ImageGenerator
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from app.ports.llm import LLMProvider
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from app.ports.sms import SmsSender
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from app.ports.storage import ObjectStorage
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from app.ports.tts import TTSProvider
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oauth2_scheme = OAuth2PasswordBearer(tokenUrl="/api/auth/login")
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# ── Port DI factories ───────────────────────────────────────
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@lru_cache
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def get_sms_sender() -> SmsSender:
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from app.adapters.sms.tencent import TencentSmsSender
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return TencentSmsSender(
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secret_id=settings.tencent_sms_secret_id,
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secret_key=settings.tencent_sms_secret_key,
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sdk_app_id=settings.tencent_sms_sdk_app_id,
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sign_name=settings.tencent_sms_sign_name,
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template_id=settings.tencent_sms_template_id,
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template_param_count=settings.tencent_sms_template_param_count,
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)
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@lru_cache
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def get_llm_provider() -> LLMProvider:
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from app.adapters.llm.deepseek import DeepSeekLLMProvider
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api_key = settings.deepseek_api_key or settings.llm_api_key
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base_url = settings.deepseek_base_url or settings.llm_base_url
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model = settings.deepseek_model or settings.llm_model or "deepseek-chat"
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return DeepSeekLLMProvider(
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api_key=api_key,
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base_url=base_url,
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model=model,
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temperature=settings.llm_temperature,
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)
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@lru_cache
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def get_llm_provider_fast() -> LLMProvider:
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"""快档位:与默认共用密钥与 base_url,仅模型名可单独配置。"""
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fast = (settings.llm_fast_model or "").strip()
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if not fast:
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return get_llm_provider()
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from app.adapters.llm.deepseek import DeepSeekLLMProvider
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api_key = settings.deepseek_api_key or settings.llm_api_key
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base_url = settings.deepseek_base_url or settings.llm_base_url
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return DeepSeekLLMProvider(
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api_key=api_key,
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base_url=base_url,
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model=fast,
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temperature=settings.llm_temperature,
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)
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@lru_cache
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def get_tts_provider() -> TTSProvider:
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if settings.tts_provider == "tencent":
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from app.adapters.tts.tencent_tts import TencentTTSProvider
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return TencentTTSProvider(
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secret_id=settings.tencent_secret_id,
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secret_key=settings.tencent_secret_key,
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voice_type=settings.tts_voice_type,
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codec=settings.tts_codec,
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)
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from app.adapters.tts.openai_tts import OpenAITTSProvider
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return OpenAITTSProvider(api_key=settings.openai_api_key)
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@lru_cache
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def get_asr_provider() -> ASRProvider:
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if settings.asr_provider == "tencent":
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from app.adapters.asr.tencent_asr import TencentASRProvider
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return TencentASRProvider(
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secret_id=settings.tencent_secret_id,
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secret_key=settings.tencent_secret_key,
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)
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from app.adapters.asr.whisper_local import WhisperASRProvider
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return WhisperASRProvider(
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model_size=settings.asr_model_size,
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device=settings.asr_device,
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compute_type=settings.asr_compute_type,
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cache_dir=settings.asr_model_cache_dir,
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)
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@lru_cache
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def get_image_generator() -> ImageGenerator:
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from app.adapters.image_gen.liblib import LiblibImageGenerator
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return LiblibImageGenerator(
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access_key=settings.liblib_access_key,
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secret_key=settings.liblib_secret_key,
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base_url=settings.liblib_base_url,
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template_uuid=settings.liblib_template_uuid,
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poll_interval=settings.memoir_image_poll_interval,
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max_attempts=settings.memoir_image_max_attempts,
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)
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@lru_cache
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def get_object_storage() -> ObjectStorage:
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from app.adapters.storage.tencent_cos import TencentCosStorage
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return TencentCosStorage(
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secret_id=settings.tencent_cos_secret_id,
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secret_key=settings.tencent_cos_secret_key,
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region=settings.tencent_cos_region,
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bucket=settings.tencent_cos_bucket,
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base_url=settings.tencent_cos_base_url,
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token=settings.tencent_cos_token,
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)
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@lru_cache
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def get_embedding_provider() -> EmbeddingProvider:
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from app.adapters.embedding.zhipu import ZhipuEmbeddingProvider
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return ZhipuEmbeddingProvider(
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api_key=settings.zhipu_api_key,
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base_url=settings.embedding_base_url or None,
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model=settings.embedding_model,
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)
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# ── Auth dependencies ────────────────────────────────────────
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async def get_current_user(
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token: str = Depends(oauth2_scheme),
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db: AsyncSession = Depends(get_async_db),
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):
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"""Resolve authenticated user from JWT access token."""
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from app.features.user.models import User # deferred to avoid circular import
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credentials_exception = HTTPException(
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status_code=status.HTTP_401_UNAUTHORIZED,
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detail="无法验证凭据",
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headers={"WWW-Authenticate": "Bearer"},
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)
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payload = verify_token(token)
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if payload is None:
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raise credentials_exception
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user_id: str | None = payload.get("sub")
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if user_id is None:
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raise credentials_exception
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if payload.get("type") != "access":
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raise credentials_exception
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user = await db.get(User, user_id)
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if user is None:
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raise credentials_exception
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return user
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async def get_optional_user(
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token: Optional[str] = Depends(oauth2_scheme),
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db: AsyncSession = Depends(get_async_db),
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):
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"""Return user if a valid token is provided, else None."""
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if token is None:
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return None
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try:
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return await get_current_user(token, db)
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except HTTPException:
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return None
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