xsl
7bcbb8d40b
CI / lint / typecheck / import-linter / tests / secrets (push) Canceled after 0s
- agent: ag_conversation/ag_message 表(迁移0007),上下文组装注入最近报告画像摘要 (report.profile.latest_profile_summary 经 apps 层闭包注入,同层不互调),历史带最近 AGENT_HISTORY_TURNS=10 轮;POST/GET /agent/conversations 与消息历史接口 - agent 修复:ChatRequest.conversation_id 改 str(雪花ID超2^53,JS Number丢精度); _build_context 挪进 reserve commit 后同一 try,异常走 refund 兜底 - report: rp_feedback(维度反馈 upsert,认同率/修正率 SQL 可算,T-P3-21 最小版—— L1 记忆未建,不回写结论)+ rp_reservation(预约留资幂等,T-P3-22,预约率口径 行数/full_report.card_view 去重曝光,门槛≥8%),迁移0008 - 测试:全量 606 passed;ruff/mypy/lint-imports 全绿;E2E 真实 deepseek-v4-flash 验证 画像注入与历史携带
295 lines
12 KiB
Python
295 lines
12 KiB
Python
"""Typed application configuration.
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Every value comes from the environment (架构文档 §11.2: 密钥不进代码/镜像).
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`.env` is only a developer convenience; dev/staging/prod inject via SSM/KMS.
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"""
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from __future__ import annotations
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import json
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from decimal import Decimal
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from functools import lru_cache
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from typing import Any, Literal
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from pydantic import Field, ValidationInfo, field_validator
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from pydantic_settings import BaseSettings, SettingsConfigDict
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Environment = Literal["local", "dev", "staging", "prod"]
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CachePrefixMode = Literal["strict", "warn", "off"]
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_PLACEHOLDER_JWT_SECRET = "change-me-local-only-do-not-use-outside-local"
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class Settings(BaseSettings):
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"""Root settings object. Read it through :func:`get_settings`."""
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model_config = SettingsConfigDict(
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env_file=".env",
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env_file_encoding="utf-8",
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extra="ignore",
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case_sensitive=False,
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)
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# --- Application -------------------------------------------------------
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app_env: Environment = "local"
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app_name: str = "meida-backend"
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api_prefix: str = "/api/v1"
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debug: bool = False
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log_level: str = "INFO"
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log_json: bool = True
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log_extra_redact_keys: str = ""
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# --- Database ----------------------------------------------------------
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database_url: str = "postgresql+asyncpg://meida:meida@localhost:55432/meida"
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db_pool_size: int = 10
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db_max_overflow: int = 20
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db_echo: bool = False
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# --- Redis / Celery ----------------------------------------------------
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redis_url: str = "redis://localhost:56379/0"
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celery_broker_url: str = "redis://localhost:56379/1"
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celery_result_backend: str = "redis://localhost:56379/2"
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# --- Auth --------------------------------------------------------------
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jwt_secret: str = _PLACEHOLDER_JWT_SECRET
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jwt_algorithm: str = "HS256"
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jwt_access_ttl_seconds: int = 900
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jwt_issuer: str = "meida"
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dev_auth_enabled: bool = True
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# --- LLM routing -------------------------------------------------------
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llm_primary_provider: str = "deepseek"
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llm_backup_provider: str = "zhipu"
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llm_structured_max_retries: int = 2
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llm_circuit_failure_threshold: int = 3
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llm_circuit_cooldown_seconds: float = 30.0
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llm_scene_overrides: dict[str, dict[str, Any]] = Field(
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default_factory=dict, alias="LLM_SCENE_OVERRIDES_JSON"
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)
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# --- DeepSeek (primary, OpenAI-compatible) -----------------------------
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deepseek_api_key: str = ""
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deepseek_base_url: str = "https://api.deepseek.com/v1"
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deepseek_model: str = "deepseek-v4-flash"
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deepseek_timeout_seconds: float = 30.0
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# --- 智谱 GLM (backup slot, not implemented in V1) ---------------------
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zhipu_api_key: str = ""
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zhipu_base_url: str = "https://open.bigmodel.cn/api/paas/v4"
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zhipu_model: str = "glm-4-flash"
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zhipu_timeout_seconds: float = 30.0
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# --- Prompt caching discipline (架构文档 §7.2) -------------------------
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llm_cache_prefix_mode: CachePrefixMode = "strict"
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prompts_dir: str = "prompts"
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# --- Cost attribution (架构文档 §13) -----------------------------------
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llm_cost_rates: dict[str, dict[str, Decimal]] = Field(
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default_factory=dict, alias="LLM_COST_RATES_JSON"
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)
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# DeepSeek 自 2026-08-17 起峰谷定价，高峰单价是空闲时段的 2 倍
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# （高峰：北京时间 09:00-12:00、14:00-18:00）。留空则两个时段同价。
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llm_cost_rates_peak: dict[str, dict[str, Decimal]] = Field(
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default_factory=dict, alias="LLM_COST_RATES_PEAK_JSON"
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)
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llm_peak_pricing_enabled: bool = True
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llm_default_cost_rate: dict[str, Decimal] = Field(
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default_factory=lambda: {
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"input_cents_per_mtok": Decimal("100"),
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"cached_input_cents_per_mtok": Decimal("20"),
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"output_cents_per_mtok": Decimal("200"),
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},
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alias="LLM_DEFAULT_COST_RATE_JSON",
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)
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# --- Global daily cost circuit breaker ---------------------------------
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llm_daily_budget_enabled: bool = True
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llm_daily_budget_cents: Decimal = Decimal("100000")
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llm_budget_timezone_offset_hours: int = 8
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# 四档分级降级（架构 §13.3，T-P1-25b）。JSON 为列表：
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# [{"threshold":0.8,"name":"degrade_secondary","blocked":["hd_export"],...}]
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# blocked 支持 "*"; allow 仅 block_all 档有意义（纯文本对话放行）。
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llm_budget_tiers: list[dict[str, Any]] = Field(
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default_factory=lambda: [
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{"threshold": 0.6, "name": "warn", "blocked": []},
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{
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"threshold": 0.8,
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"name": "degrade_secondary",
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"blocked": ["hd_export", "report_regen"],
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},
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{"threshold": 0.9, "name": "degrade_generation", "blocked": ["hairstyle", "tryon"]},
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{"threshold": 1.0, "name": "block_all", "blocked": "*", "allow": ["agent_chat"]},
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],
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alias="LLM_BUDGET_TIERS_JSON",
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)
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# --- Auth: refresh sessions (FR-ACC-05) --------------------------------
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refresh_token_ttl_seconds: int = 2_592_000 # 30 天
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# --- Agent 对话（FR-AGT-09）--------------------------------------------
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# 对话上下文携带的最近轮数（一轮 = user + assistant 两条），默认 10。
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agent_history_turns: int = 10
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# --- 任务奖励（FR-BILL-03/04，配置化）-----------------------------------
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# amount 全部是占位值 1：正式数值待产品在产品方案 §3.2 定稿后改 env，不改代码。
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# claim_period 决定幂等粒度（同一任务同周期只能领一次）。
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task_bonus_rules: dict[str, dict[str, Any]] = Field(
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default_factory=lambda: {
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"sign_in": {"quota_key": "agent_chat", "amount": 1, "claim_period": "day"},
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"profile_complete": {
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"quota_key": "agent_chat",
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"amount": 1,
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"claim_period": "lifetime",
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},
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"report_feedback": {"quota_key": "report_regen", "amount": 1, "claim_period": "day"},
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"share_report": {"quota_key": "tryon", "amount": 1, "claim_period": "day"},
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"invite_friend": {"quota_key": "tryon", "amount": 1, "claim_period": "day"},
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},
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alias="TASK_BONUS_RULES_JSON",
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)
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# --- 客户端埋点（FR-SYS-06）---------------------------------------------
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events_max_batch: int = 50
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events_props_max_bytes: int = 8192
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# --- 腾讯云 COS 直传（FR-SYS-03 / T-P1-27）------------------------------
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cos_region: str = "ap-shanghai"
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cos_secret_id: str = ""
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cos_secret_key: str = ""
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cos_bucket_temp: str = "meida-temp" # 临时桶，2 小时生命周期（CR-02）
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cos_bucket_user: str = "meida-user"
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cos_bucket_kb: str = "meida-kb"
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cos_bucket_report: str = "meida-report"
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cos_presign_expire_seconds: int = 600
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upload_max_bytes: int = 20_971_520 # 20MB
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upload_allowed_types: str = "image/jpeg,image/png,image/webp"
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# scene → {"bucket": "temp"|"user"|"kb"|"report"}。新增上传场景只改这里。
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upload_scenes: dict[str, dict[str, Any]] = Field(
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default_factory=lambda: {
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"report_photo": {"bucket": "temp"},
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"avatar": {"bucket": "temp"},
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},
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alias="UPLOAD_SCENES_JSON",
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)
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# --- 知识库与检索（架构 §8.3，TD-08）--------------------------------------
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kb_vector_dimensions: int = 1024
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# 当前默认 = 确定性假实现；真实 BGE-M3 ONNX 是后续任务，届时只换这里。
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kb_embedding_model: str = "deterministic-v1"
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kb_embedding_device: str = "cpu"
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retrieval_top_k: int = 50
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# 重排权重（架构 §8.3 唯一口径）：0.45 向量 + 0.2 关键词 + 0.25 规则 + 0.1 新鲜度。
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retrieval_rerank_weights: dict[str, float] = Field(
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default_factory=lambda: {"vector": 0.45, "keyword": 0.2, "rule": 0.25, "freshness": 0.1},
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alias="RETRIEVAL_RERANK_WEIGHTS_JSON",
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)
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# --- 华为账号登录（FR-ACC-01；联调待 AGC 配置，见《前置开通清单》§3）------
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huawei_jwks_url: str = "https://oauth-login.cloud.huawei.com/oauth2/v3/certs"
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huawei_audience: str = "" # = AGC App ID；空配置时验签必须拒绝而不是跳过
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huawei_issuer: str = "https://accounts.huawei.com"
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huawei_jwks_cache_seconds: int = 86400
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# --- 手机号验证码登录（FR-ACC-04/14，TD-32）--------------------------------
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# fake = 验证码打日志（dev）；tencent = 真实发送（待签名审核通过后切换）
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sms_provider: str = "fake"
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tencent_sms_secret_id: str = ""
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tencent_sms_secret_key: str = ""
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tencent_sms_sdk_app_id: str = ""
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tencent_sms_sign_name: str = ""
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tencent_sms_template_id: str = ""
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sms_code_ttl_seconds: int = 300
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sms_code_length: int = 6
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sms_verify_max_attempts: int = 5
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sms_resend_cooldown_seconds: int = 60
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sms_hourly_limit: int = 5
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sms_daily_limit: int = 10
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sms_ip_daily_limit: int = 20
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sms_device_daily_limit: int = 10
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# --- 极简运营后台（T-P2-09）----------------------------------------------
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# 空字符串 = 后台全部端点 404（等价于未部署）。V1 极简鉴权：共享令牌，
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# 后续接运营账号体系时替换。令牌只进 .env / SSM，绝不进代码。
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admin_token: str = ""
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# --- 检索结果缓存（T-P2-10，T14 实现背后的配置）--------------------------
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retrieval_cache_enabled: bool = True
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retrieval_cache_ttl_seconds: int = 60
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retrieval_cache_max_entries: int = 512
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# --- 美学报告流水线（T-P3，第四批）---------------------------------------
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# 阶段按 dotted path 动态装配（importlib）：T15 编排、T16 供 vision/diagnosis、
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# T17 供 copy/validation——三个任务互不改对方文件，靠这份清单衔接。
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# 缺失模块/类在装配时报 CONFIG_ERROR 并列出缺失项，绝不静默跳过。
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report_pipeline_stages: list[str] = Field(
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default_factory=lambda: [
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"packages.report.vision_stage:VisionStage",
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"packages.report.diagnosis_stage:DiagnosisStage",
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"packages.report.copy_stage:CopyStage",
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"packages.report.validation_stage:ValidationStage",
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],
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alias="REPORT_PIPELINE_STAGES_JSON",
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)
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# 视觉提供者：deterministic = V1 骨架的确定性假实现（真实 RTMPose/BiRefNet
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# 是 Sprint 1 结论落地后的替换项，接口位见 packages/report/vision.py）。
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report_vision_provider: str = "deterministic"
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report_tier: str = "basic"
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# PDF 导出落盘目录（相对进程 cwd；worker 与 API 同 cwd 启动，两边解析一致）。
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# rp_report.rendered_asset_key 存的是含该目录前缀的相对路径。
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report_export_dir: str = "var/exports"
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# --- Observability -----------------------------------------------------
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otel_enabled: bool = False
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otel_service_name: str = "meida-api"
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otel_exporter_otlp_endpoint: str = ""
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prometheus_enabled: bool = True
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@field_validator(
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"llm_scene_overrides",
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"llm_cost_rates",
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"llm_cost_rates_peak",
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"llm_default_cost_rate",
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"llm_budget_tiers",
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"task_bonus_rules",
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"upload_scenes",
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"retrieval_rerank_weights",
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"report_pipeline_stages",
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mode="before",
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)
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@classmethod
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def _parse_json_object(cls, value: Any) -> Any:
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if isinstance(value, str):
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stripped = value.strip()
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if not stripped:
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return {}
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return json.loads(stripped)
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return value
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@field_validator("jwt_secret")
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@classmethod
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def _reject_placeholder_secret_outside_local(cls, value: str, info: ValidationInfo) -> str:
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env = info.data.get("app_env", "local")
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if env in ("staging", "prod") and (value == _PLACEHOLDER_JWT_SECRET or len(value) < 32):
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msg = "JWT_SECRET must be set to a >=32 char random value outside local/dev"
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raise ValueError(msg)
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return value
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@property
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def is_local(self) -> bool:
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return self.app_env in ("local", "dev")
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@property
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def extra_redact_keys(self) -> tuple[str, ...]:
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return tuple(k.strip() for k in self.log_extra_redact_keys.split(",") if k.strip())
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@property
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def sync_database_url(self) -> str:
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"""psycopg-style URL, used by tooling that cannot speak asyncpg."""
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return self.database_url.replace("+asyncpg", "")
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@lru_cache(maxsize=1)
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def get_settings() -> Settings:
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"""Process-wide settings singleton."""
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return Settings()
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