语义召回"恒空"的根因分四层,本提交修掉投递层与读取层(另两层——重试计数
门禁、episode 不投 rebuild 事件——已在前两个提交修复)。
R2 投递层:dispatch_profile_rebuild 只做图投影,没有任何 Milvus 投递,
长期记忆的向量从未被写入过(实测客户 9001 在 memory_sync_outbox 里 0 行)。
新增 _enqueue_memory_vector_projection(),在画像重建后投
MemorySyncOutbox(target_store="milvus")。走事件而不是同步写,是为了拿
Outbox 的重试/退避/死信,且不把 embedding 的网络等待拖进事务。
⚠️ payload 必须带 version(正整数):适配器 _coerce_profile_version 缺它
直接抛 ValueError(实测踩到,事件立刻 failed)。
R4 读取层:写的集合与读的集合不是同一个 ——
写(MilvusProfileProjection)用 "user_long_term_memory_v1",
读(bootstrap.get_vector_memory_adapter)与删(projection_cleanup_service)
却用 settings.milvus_collection = "jr_memory",而该集合从未被创建。
⇒ 召回:MilvusClient 构造不校验集合存在,适配器"构造成功"但每次 search
抛异常被 VectorMemoryAdapter 吞成 degraded → 召回恒
degraded_reasons=('milvus_unavailable',)、向量命中恒 0 条;
⇒ 清理:jr_memory 不在集合列表 → 走 vector_collection_absent 分支 →
报清理成功但一个向量都没删,陈旧向量永久留存。
修法:PROFILE_COLLECTION 成为唯一常量,读/删两侧直接引用它;
并删除 Settings.milvus_collection 配置项、清掉 .env.example 的
MILVUS_COLLECTION —— 写侧从来没读过它,一个只在契约一侧生效的配置项
比没有配置项更危险(Settings 的 extra="ignore" 会让其他环境残留的该
变量被安全忽略)。
顺带:
- 语义检索把客户过滤下推到 Milvus(filter="customer_id == N")。此前不带
过滤,别家客户的命中会白占 limit 名额,稀释本客户的召回条数。
- upsert 在 sources 为空时先返回,不再无条件 load_collection ——
"本来就没有可写内容"不该被记成投递失败(10001/10002 那两条事件即如此
重试 5 次进死信)。
回归守卫:tests/unit/infrastructure/test_memory_vector_collection_consistency.py
断言读侧与删侧用的都是 PROFILE_COLLECTION,且被删掉的配置项不得回归。
这个缺陷能活下来,正是因为两侧单测全绿而接缝无人守。
验证(走生产装配、进程内调用,未重启你正在跑的 API 窗口):
读侧集合打印 user_long_term_memory_v1(修前为 jr_memory);
召回 degraded=False / reasons=() / sources 含 milvus,且排序随 query 语义
变化(投资期限→horizon 0.288 > risk_level 0.201;风险偏好→risk_level 0.287);
query="进取型" 双通道合并且 vector_score=0.9987;query=None 走 mysql 全量。
pytest tests/unit tests/contract → 1432 passed, 2 skipped, 1 failed
(唯一失败是同事正在改的投顾页面,与记忆链路无关)。
文档:docs/演示用/记忆召回恒空-根因与修复-2026-09-14.md(新增,四层根因+证据)、
docs/37-记忆投影链路实现说明.md(补集合名三侧契约)。
149 lines
7.7 KiB
Python
149 lines
7.7 KiB
Python
from functools import lru_cache
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from dotenv import load_dotenv
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from pydantic import Field
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from pydantic_settings import BaseSettings, SettingsConfigDict
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# 把 `.env` 显式注入进程环境变量。pydantic-settings 只把 `.env` 读进 Settings 对象,
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# **不会**写 `os.environ`;而模型密钥解析(`EnvironmentSecretResolver` 要求 secret_ref
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# 形如 `env:VAR`)读的正是 `os.getenv`。两者不打通就会出现"按文档在 .env 里配好密钥、
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# 运行时却读不到",且症状伪装成"没有可用的模型端点",排查方向被带偏。
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# `override=False`:真实进程环境变量优先,`.env` 只作补充(生产用容器注入时不会被覆盖)。
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load_dotenv(override=False)
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class Settings(BaseSettings):
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app_env: str = "local"
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app_name: str = "jr-agent-platform"
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log_level: str = "INFO"
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timezone: str = "Asia/Shanghai"
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cors_allowed_origins: str = "http://127.0.0.1:5173,http://localhost:5173"
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jwt_issuer: str
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jwt_audience: str
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jwt_algorithm: str = "RS256"
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# 默认指向**开发专用**密钥(tools/generate_jwt_keys.py 生成,config/jwt/ 不进版本库)。
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# 生产环境必须用环境变量覆盖为生产机上单独生成的那一套,不要复用开发密钥。
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jwt_private_key_path: str = "config/jwt/dev/jwt-private.pem"
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jwt_public_key_path: str = "config/jwt/dev/jwt-public.pem"
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jwt_clock_skew_seconds: int = Field(default=30, ge=0)
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visitor_token_ttl_seconds: int = Field(default=900, ge=60, le=3600)
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mysql_dsn: str
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mysql_pool_size: int = Field(default=5, ge=1)
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mysql_max_overflow: int = Field(default=10, ge=0)
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mysql_pool_pre_ping: bool = False
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mysql_tx_isolation: str = "READ COMMITTED"
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redis_url: str
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redis_connect_timeout_seconds: float = Field(default=2, gt=0)
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# 限流(文档 §3.5 的 429 / §3.6 的 RATE_LIMITED)。默认值刻意宽松:
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# 每用户每接口每分钟 600 次(10 QPS)。取值依据是"本地验收与集成测试的量级"——
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# 两个验收脚本与 tests/integration 里同一身份对同一接口最多几十次调用,
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# 600 留了一个数量级余量,绝不可能误伤;同时 10 QPS 已足以拦住单个客户端
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# 把底座打爆(正常业务交互远低于 1 QPS)。生产按真实容量收紧即可,无需改代码。
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rate_limit_enabled: bool = True
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rate_limit_window_seconds: int = Field(default=60, gt=0)
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rate_limit_max_requests: int = Field(default=600, ge=1)
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rate_limit_key_prefix: str = "jr:rate_limit"
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message_broker_url: str = ""
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message_broker_run_topic: str = "agent.run"
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message_broker_outbox_topic: str = "agent.outbox"
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message_broker_dlq_topic: str = "agent.dlq"
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milvus_uri: str
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milvus_local_uri: str = ""
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milvus_token: str = ""
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# 长期记忆向量集合名**刻意不做成配置项**:它是写(投影)、读(召回)、删(清理)
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# 三侧共用的代码级契约,集合 schema 与向量维度(1024)也由代码定义
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# (`app/infrastructure/milvus_profile_projection.py` 的 `PROFILE_COLLECTION`)。
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# 这里原本有个 `milvus_collection`(`jr_memory`),写路径却从没读过它 ——
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# 只有读/删两侧读,于是"写进 A、从 B 查、从 B 删",语义召回恒空、清理恒报成功却不删。
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# 一个只在契约一侧生效的配置项比没有配置项更危险,故直接删除。
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neo4j_uri: str
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neo4j_database: str = "neo4j"
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neo4j_username: str = "neo4j"
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neo4j_password: str = ""
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model_router_config_ref: str = "local"
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model_default_endpoint: str = ""
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model_fallback_endpoint: str = ""
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knowledge_embedding_endpoint_code: str = ""
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knowledge_embedding_timeout_ms: int = Field(default=15000, gt=0)
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sse_heartbeat_seconds: int = Field(default=15, gt=0)
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sse_chunk_characters: int = Field(default=256, ge=1, le=4096)
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sse_max_connection_seconds: int = Field(default=300, gt=0)
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worker_lease_seconds: int = Field(default=60, gt=0)
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worker_retry_limit: int = Field(default=3, ge=0)
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worker_poll_seconds: float = Field(default=1, gt=0)
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offsite_mailbox: str = "yuan80818843@163.com"
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offsite_allowed_senders: tuple[str, ...] = ("15273589815@163.com",)
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offsite_risk_receiver_id: str = ""
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offsite_settlement_receiver_id: str = ""
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offsite_mail_return_receiver: str = "yuan80818843@163.com"
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offsite_max_retry_count: int = Field(default=3, ge=0)
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offsite_imap_enabled: bool = False
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offsite_imap_host: str = ""
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offsite_imap_port: int = Field(default=993, gt=0)
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offsite_imap_username: str = ""
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offsite_imap_password: str = ""
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offsite_imap_use_ssl: bool = True
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offsite_imap_idle_enabled: bool = False
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offsite_imap_idle_timeout_seconds: float = Field(default=120, gt=0)
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offsite_mail_worker_enabled: bool = False
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offsite_mail_worker_batch_size: int = Field(default=20, ge=1, le=100)
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offsite_worker_user_id: str = ""
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offsite_notification_sending_timeout_seconds: int = Field(default=900, gt=0)
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offsite_mail_storage_dir: str = "data/offsite_mail"
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offsite_ocr_enabled: bool = False
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offsite_ocr_timeout_seconds: float = Field(default=30, gt=0)
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offsite_aliyun_ocr_endpoint: str = "https://docmind-api.cn-hangzhou.aliyuncs.com"
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offsite_aliyun_region_id: str = "cn-hangzhou"
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offsite_aliyun_poll_interval_seconds: float = Field(default=1, gt=0)
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offsite_aliyun_access_key_id: str = ""
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offsite_aliyun_access_key_secret: str = ""
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offsite_deepseek_enabled: bool = False
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offsite_deepseek_base_url: str = "https://api.deepseek.com"
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offsite_deepseek_api_key: str = ""
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offsite_deepseek_model: str = "deepseek-v4-flash"
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offsite_deepseek_timeout_seconds: float = Field(default=30, gt=0)
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offsite_smtp_enabled: bool = False
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offsite_smtp_dry_run: bool = True
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offsite_smtp_host: str = ""
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offsite_smtp_port: int = Field(default=465, gt=0)
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offsite_smtp_username: str = ""
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offsite_smtp_password: str = ""
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offsite_smtp_sender: str = ""
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offsite_smtp_use_ssl: bool = True
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offsite_smtp_timeout_seconds: float = Field(default=30, gt=0)
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promotion_material_storage_dir: str = "data/promotion_materials"
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promotion_pdf_enabled: bool = False
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promotion_pdf_converter_path: str = ""
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promotion_max_photo_size_bytes: int = Field(default=10 * 1024 * 1024, gt=0)
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promotion_max_performance_file_size_bytes: int = Field(default=20 * 1024 * 1024, gt=0)
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promotion_image_enabled: bool = False
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promotion_image_base_url: str = "https://dashscope.aliyuncs.com"
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promotion_image_model: str = "wan2.2-t2i-flash"
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promotion_image_timeout_seconds: float = Field(default=90, gt=0)
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promotion_image_poll_interval_seconds: float = Field(default=2, gt=0)
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risk_scan_schedule_enabled: bool = False
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risk_scan_interval_minutes: int = Field(default=5, ge=1, le=1440)
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risk_scan_run_immediately: bool = False
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risk_scan_retry_limit: int = Field(default=2, ge=0, le=5)
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risk_scan_poll_seconds: float = Field(default=30, gt=0)
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risk_alert_mail_enabled: bool = False
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risk_alert_mail_dry_run: bool = True
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risk_alert_mail_recipients: str = ""
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# 投顾灰度默认关闭,只有显式开启并配置客户白名单后才限制客户流量。
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# 管理员角色始终可进入,便于审核、发布和故障处置。
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advisor_rollout_enabled: bool = False
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advisor_rollout_customer_ids: str = ""
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@property
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def resolved_milvus_uri(self) -> str:
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"""本地开发优先使用 Lite 文件;部署环境使用标准 Milvus URI。"""
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return self.milvus_local_uri or self.milvus_uri
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model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8", extra="ignore")
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@lru_cache(maxsize=1)
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def get_settings() -> Settings:
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return Settings() # type: ignore[call-arg]
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