chore(prep): shared groundwork for the Sprint-2 parallel batch

第二批（T6~T11）协调提交：
- 迁移 0005：kb 七表（entity/relation/rule/chunk vector1024+tsv 生成列/
  asset/color/gap），HNSW+GIN 索引，FK 级联
- ORM：七个 Kb* 模型（pgvector Vector/TSVECTOR/Computed）
- 配置：检索与 embedding、华为 JWKS、短信全参数组
- 错误码：40110/40111/42910/42911/61000
- 骨架路由：kb.py + auth_sms.py（已注册）；依赖：tencentcloud-sdk-python-sms
  + spike extra（onnxruntime/opencv）；gitignore：models/ 与 spike 输出

.env.example

@@ -112,3 +112,34 @@ COS_PRESIGN_EXPIRE_SECONDS=600
 UPLOAD_MAX_BYTES=20971520
 UPLOAD_ALLOWED_TYPES=image/jpeg,image/png,image/webp
 UPLOAD_SCENES_JSON={"report_photo":{"bucket":"temp"},"avatar":{"bucket":"temp"}}
+
+# ── 知识库与检索（架构 §8.3，TD-08）────────────────────────────────────────
+# 当前 embedding 为确定性假实现（dev/test）；真实 BGE-M3 ONNX 接入时只换这里。
+KB_VECTOR_DIMENSIONS=1024
+KB_EMBEDDING_MODEL=deterministic-v1
+KB_EMBEDDING_DEVICE=cpu
+RETRIEVAL_TOP_K=50
+RETRIEVAL_RERANK_WEIGHTS_JSON={"vector":0.45,"keyword":0.2,"rule":0.25,"freshness":0.1}
+
+# ── 华为账号登录（FR-ACC-01；真实联调待 AGC 配置，见《前置开通清单》§3）────
+HUAWEI_JWKS_URL=https://oauth-login.cloud.huawei.com/oauth2/v3/certs
+HUAWEI_AUDIENCE=
+HUAWEI_ISSUER=https://accounts.huawei.com
+HUAWEI_JWKS_CACHE_SECONDS=86400
+
+# ── 手机号验证码登录（FR-ACC-04/14，TD-32）─────────────────────────────────
+# fake = 验证码打日志（dev）；tencent = 真实发送（签名审核通过后切换并填下方凭证）
+SMS_PROVIDER=fake
+TENCENT_SMS_SECRET_ID=
+TENCENT_SMS_SECRET_KEY=
+TENCENT_SMS_SDK_APP_ID=
+TENCENT_SMS_SIGN_NAME=
+TENCENT_SMS_TEMPLATE_ID=
+SMS_CODE_TTL_SECONDS=300
+SMS_CODE_LENGTH=6
+SMS_VERIFY_MAX_ATTEMPTS=5
+SMS_RESEND_COOLDOWN_SECONDS=60
+SMS_HOURLY_LIMIT=5
+SMS_DAILY_LIMIT=10
+SMS_IP_DAILY_LIMIT=20
+SMS_DEVICE_DAILY_LIMIT=10

.gitignore

@@ -31,3 +31,8 @@ htmlcov/
 
 logs/
 tmp/
+
+# 算法 SPIKE 的模型缓存与输出（模型文件绝不入库）
+models/
+scripts/spikes/out/
+scripts/spikes/assets/

apps/api/main.py

@@ -12,7 +12,7 @@ from contextlib import asynccontextmanager
 from fastapi import FastAPI
 
 from apps.api.deps import build_llm_gateway
-from apps.api.routers import agent, auth, events, health, quota, tasks, uploads
+from apps.api.routers import agent, auth, auth_sms, events, health, kb, quota, tasks, uploads
 from packages.shared.config import Settings, get_settings
 from packages.shared.db import dispose_engine
 from packages.shared.handlers import install_exception_handlers
@@ -69,7 +69,16 @@ def create_app(settings: Settings | None = None) -> FastAPI:
     setup_tracing(app, cfg)
 
     app.include_router(health.router)
-    routers = (auth.router, agent.router, quota.router, tasks.router, events.router, uploads.router)
+    routers = (
+        auth.router,
+        auth_sms.router,
+        agent.router,
+        quota.router,
+        tasks.router,
+        events.router,
+        uploads.router,
+        kb.router,
+    )
     for router in routers:
         app.include_router(router, prefix=cfg.api_prefix)
 

apps/api/routers/auth_sms.py

@@ -0,0 +1,12 @@
+"""手机号验证码登录路由（骨架，T11 填充实现）。
+
+POST /auth/sms/send、POST /auth/sms/verify；
+实现契约见 docs/开发任务包/T11-短信登录代码先行.md。
+与 auth.py（华为/dev-token/refresh）分文件以避免并行冲突。
+"""
+
+from __future__ import annotations
+
+from fastapi import APIRouter
+
+router = APIRouter(prefix="/auth", tags=["auth-sms"])

apps/api/routers/kb.py

@@ -0,0 +1,10 @@
+"""知识库实体路由（骨架，T6 填充实现）。
+
+GET /kb/items 等；实现契约见 docs/开发任务包/T6-知识库实体与图谱.md。
+"""
+
+from __future__ import annotations
+
+from fastapi import APIRouter
+
+router = APIRouter(prefix="/kb", tags=["kb"])

migrations/versions/0005_kb_tables.py

@@ -0,0 +1,179 @@
+"""Knowledge base tables for the Sprint-2 parallel batch (架构文档 §6.2 kb 域).
+
+七张表一次落齐，任务批（T6/T7/T8）不再写迁移：
+  kb_entity / kb_relation / kb_rule  → T6 实体图谱、T7 规则引擎
+  kb_chunk (vector 1024 + tsv)       → T8 混合检索
+  kb_asset / kb_color                → T6/T8
+  kb_gap                             → T8 无结果缺口埋点
+
+索引决策：
+  - kb_chunk.embedding 用 HNSW(cosine)——万级数据下召回延迟远优于 IVFFlat，
+    且不需要先灌数据再训练聚类（IVFFlat 的 num_lists 依赖数据量）。
+  - tsv 用 GIN；tsvector 是生成列（PG12+），应用层不手工维护。
+
+Reversible: 是。降级按依赖倒序 drop。
+"""
+
+from __future__ import annotations
+
+from collections.abc import Sequence
+
+import sqlalchemy as sa
+from alembic import op
+from pgvector.sqlalchemy import Vector
+from sqlalchemy.dialects import postgresql
+
+revision: str = "0005"
+down_revision: str | None = "0004"
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade() -> None:
+    op.create_table(
+        "kb_entity",
+        sa.Column("entity_id", sa.BigInteger(), nullable=False),
+        sa.Column("entity_type", sa.String(length=32), nullable=False),
+        sa.Column("name", sa.String(length=128), nullable=False),
+        sa.Column("attrs", postgresql.JSONB(), nullable=False),
+        sa.Column("status", sa.String(length=16), nullable=False, server_default=sa.text("'draft'")),
+        sa.Column("version", sa.Integer(), nullable=False, server_default=sa.text("1")),
+        sa.Column("source", sa.String(length=255), nullable=True),
+        sa.Column("license", sa.String(length=64), nullable=True),
+        sa.Column("updated_by", sa.String(length=64), nullable=True),
+        sa.Column("created_at", sa.DateTime(timezone=True), nullable=False, server_default=sa.func.now()),
+        sa.Column("updated_at", sa.DateTime(timezone=True), nullable=False, server_default=sa.func.now()),
+        sa.PrimaryKeyConstraint("entity_id"),
+        sa.UniqueConstraint("entity_type", "name", name="uq_kb_entity_type_name"),
+    )
+    op.create_index("ix_kb_entity_type_status", "kb_entity", ["entity_type", "status"])
+
+    op.create_table(
+        "kb_relation",
+        sa.Column("relation_id", sa.BigInteger(), nullable=False),
+        sa.Column("from_id", sa.BigInteger(), nullable=False),
+        sa.Column("rel_type", sa.String(length=64), nullable=False),
+        sa.Column("to_id", sa.BigInteger(), nullable=False),
+        sa.Column("weight", sa.Numeric(4, 3), nullable=False, server_default=sa.text("1")),
+        sa.Column("confidence", sa.Numeric(4, 3), nullable=False, server_default=sa.text("1")),
+        sa.Column("evidence", sa.String(length=255), nullable=True),
+        sa.Column("created_at", sa.DateTime(timezone=True), nullable=False, server_default=sa.func.now()),
+        sa.PrimaryKeyConstraint("relation_id"),
+        sa.UniqueConstraint("from_id", "rel_type", "to_id", name="uq_kb_relation_triple"),
+        sa.ForeignKeyConstraint(["from_id"], ["kb_entity.entity_id"], ondelete="CASCADE"),
+        sa.ForeignKeyConstraint(["to_id"], ["kb_entity.entity_id"], ondelete="CASCADE"),
+    )
+    op.create_index("ix_kb_relation_to", "kb_relation", ["to_id"])
+
+    op.create_table(
+        "kb_rule",
+        sa.Column("rule_id", sa.BigInteger(), nullable=False),
+        sa.Column("rule_key", sa.String(length=64), nullable=False),
+        sa.Column("category", sa.String(length=32), nullable=False),
+        sa.Column("version", sa.Integer(), nullable=False, server_default=sa.text("1")),
+        sa.Column("status", sa.String(length=16), nullable=False, server_default=sa.text("'draft'")),
+        sa.Column("priority", sa.Integer(), nullable=False, server_default=sa.text("60")),
+        sa.Column("conditions", postgresql.JSONB(), nullable=False),
+        sa.Column("effects", postgresql.JSONB(), nullable=False),
+        sa.Column("is_hard", sa.Boolean(), nullable=False, server_default=sa.text("false")),
+        sa.Column("confidence", sa.Numeric(4, 3), nullable=False, server_default=sa.text("0.9")),
+        sa.Column("evidence", sa.String(length=255), nullable=True),
+        sa.Column("author", sa.String(length=64), nullable=True),
+        sa.Column("reviewer", sa.String(length=64), nullable=True),
+        sa.Column("published_at", sa.DateTime(timezone=True), nullable=True),
+        sa.Column("created_at", sa.DateTime(timezone=True), nullable=False, server_default=sa.func.now()),
+        sa.PrimaryKeyConstraint("rule_id"),
+        sa.UniqueConstraint("rule_key", name="uq_kb_rule_key"),
+    )
+    op.create_index("ix_kb_rule_status_priority", "kb_rule", ["status", "priority"])
+
+    op.create_table(
+        "kb_chunk",
+        sa.Column("chunk_id", sa.BigInteger(), nullable=False),
+        sa.Column("entity_id", sa.BigInteger(), nullable=False),
+        sa.Column("chunk_type", sa.String(length=32), nullable=False, server_default=sa.text("'text'")),
+        sa.Column("text", sa.Text(), nullable=False),
+        sa.Column("embedding", Vector(1024), nullable=False),
+        sa.Column("embedding_model", sa.String(length=64), nullable=False),
+        sa.Column("embedding_version", sa.String(length=16), nullable=False),
+        sa.Column(
+            "tsv",
+            postgresql.TSVECTOR(),
+            sa.Computed("to_tsvector('simple', text)", persisted=True),
+            nullable=False,
+        ),
+        sa.Column("created_at", sa.DateTime(timezone=True), nullable=False, server_default=sa.func.now()),
+        sa.PrimaryKeyConstraint("chunk_id"),
+        sa.ForeignKeyConstraint(["entity_id"], ["kb_entity.entity_id"], ondelete="CASCADE"),
+    )
+    op.create_index("ix_kb_chunk_entity", "kb_chunk", ["entity_id"])
+    op.execute(
+        "CREATE INDEX ix_kb_chunk_embedding_hnsw ON kb_chunk "
+        "USING hnsw (embedding vector_cosine_ops)"
+    )
+    op.execute("CREATE INDEX ix_kb_chunk_tsv_gin ON kb_chunk USING gin (tsv)")
+
+    op.create_table(
+        "kb_asset",
+        sa.Column("asset_id", sa.BigInteger(), nullable=False),
+        sa.Column("entity_id", sa.BigInteger(), nullable=False),
+        sa.Column("asset_type", sa.String(length=32), nullable=False),
+        sa.Column("cos_key", sa.String(length=255), nullable=False),
+        sa.Column("spec_check", postgresql.JSONB(), nullable=False),
+        sa.Column("tryon_ready", sa.Boolean(), nullable=False, server_default=sa.text("false")),
+        sa.Column("review_status", sa.String(length=16), nullable=False, server_default=sa.text("'pending'")),
+        sa.Column("license", sa.String(length=64), nullable=True),
+        sa.Column("created_at", sa.DateTime(timezone=True), nullable=False, server_default=sa.func.now()),
+        sa.PrimaryKeyConstraint("asset_id"),
+        sa.ForeignKeyConstraint(["entity_id"], ["kb_entity.entity_id"], ondelete="CASCADE"),
+    )
+    op.create_index("ix_kb_asset_entity", "kb_asset", ["entity_id"])
+    op.execute(
+        "CREATE INDEX ix_kb_asset_tryon_ready ON kb_asset (tryon_ready) WHERE tryon_ready"
+    )
+
+    op.create_table(
+        "kb_color",
+        sa.Column("color_id", sa.BigInteger(), nullable=False),
+        sa.Column("season_code", sa.String(length=16), nullable=False),
+        sa.Column("role", sa.String(length=8), nullable=False),
+        sa.Column("lab_l", sa.Numeric(6, 2), nullable=False),
+        sa.Column("lab_a", sa.Numeric(6, 2), nullable=False),
+        sa.Column("lab_b", sa.Numeric(6, 2), nullable=False),
+        sa.Column("hex", sa.String(length=7), nullable=False),
+        sa.Column("name_cn", sa.String(length=64), nullable=False),
+        sa.PrimaryKeyConstraint("color_id"),
+    )
+    op.create_index("ix_kb_color_season", "kb_color", ["season_code"])
+
+    op.create_table(
+        "kb_gap",
+        sa.Column("gap_id", sa.BigInteger(), nullable=False),
+        sa.Column("query_text", sa.Text(), nullable=False),
+        sa.Column("filter_ctx", postgresql.JSONB(), nullable=False),
+        sa.Column("hit_count", sa.Integer(), nullable=False, server_default=sa.text("1")),
+        sa.Column("first_seen_at", sa.DateTime(timezone=True), nullable=False, server_default=sa.func.now()),
+        sa.Column("last_seen_at", sa.DateTime(timezone=True), nullable=False, server_default=sa.func.now()),
+        sa.PrimaryKeyConstraint("gap_id"),
+    )
+    op.create_index("ix_kb_gap_query", "kb_gap", ["query_text"])
+
+
+def downgrade() -> None:
+    op.drop_index("ix_kb_gap_query", table_name="kb_gap")
+    op.drop_table("kb_gap")
+    op.drop_index("ix_kb_color_season", table_name="kb_color")
+    op.drop_table("kb_color")
+    op.execute("DROP INDEX IF EXISTS ix_kb_asset_tryon_ready")
+    op.drop_index("ix_kb_asset_entity", table_name="kb_asset")
+    op.drop_table("kb_asset")
+    op.execute("DROP INDEX IF EXISTS ix_kb_chunk_tsv_gin")
+    op.execute("DROP INDEX IF EXISTS ix_kb_chunk_embedding_hnsw")
+    op.drop_index("ix_kb_chunk_entity", table_name="kb_chunk")
+    op.drop_table("kb_chunk")
+    op.drop_index("ix_kb_rule_status_priority", table_name="kb_rule")
+    op.drop_table("kb_rule")
+    op.drop_index("ix_kb_relation_to", table_name="kb_relation")
+    op.drop_table("kb_relation")
+    op.drop_index("ix_kb_entity_type_status", table_name="kb_entity")
+    op.drop_table("kb_entity")

packages/shared/config.py

@@ -168,6 +168,41 @@ class Settings(BaseSettings):
         alias="UPLOAD_SCENES_JSON",
     )
 
+    # --- 知识库与检索（架构 §8.3，TD-08）--------------------------------------
+    kb_vector_dimensions: int = 1024
+    # 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。
+    kb_embedding_model: str = "deterministic-v1"
+    kb_embedding_device: str = "cpu"
+    retrieval_top_k: int = 50
+    # 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。
+    retrieval_rerank_weights: dict[str, float] = Field(
+        default_factory=lambda: {"vector": 0.45, "keyword": 0.2, "rule": 0.25, "freshness": 0.1},
+        alias="RETRIEVAL_RERANK_WEIGHTS_JSON",
+    )
+
+    # --- 华为账号登录（FR-ACC-01；联调待 AGC 配置，见《前置开通清单》§3）------
+    huawei_jwks_url: str = "https://oauth-login.cloud.huawei.com/oauth2/v3/certs"
+    huawei_audience: str = ""  # = AGC App ID；空配置时验签必须拒绝而不是跳过
+    huawei_issuer: str = "https://accounts.huawei.com"
+    huawei_jwks_cache_seconds: int = 86400
+
+    # --- 手机号验证码登录（FR-ACC-04/14，TD-32）--------------------------------
+    # fake = 验证码打日志（dev）；tencent = 真实发送（待签名审核通过后切换）
+    sms_provider: str = "fake"
+    tencent_sms_secret_id: str = ""
+    tencent_sms_secret_key: str = ""
+    tencent_sms_sdk_app_id: str = ""
+    tencent_sms_sign_name: str = ""
+    tencent_sms_template_id: str = ""
+    sms_code_ttl_seconds: int = 300
+    sms_code_length: int = 6
+    sms_verify_max_attempts: int = 5
+    sms_resend_cooldown_seconds: int = 60
+    sms_hourly_limit: int = 5
+    sms_daily_limit: int = 10
+    sms_ip_daily_limit: int = 20
+    sms_device_daily_limit: int = 10
+
     # --- Observability -----------------------------------------------------
     otel_enabled: bool = False
     otel_service_name: str = "meida-api"
@@ -182,6 +217,7 @@ class Settings(BaseSettings):
         "llm_budget_tiers",
         "task_bonus_rules",
         "upload_scenes",
+        "retrieval_rerank_weights",
         mode="before",
     )
     @classmethod

packages/shared/errors.py

@@ -32,6 +32,8 @@ class ErrorCode(IntEnum):
     REFRESH_TOKEN_INVALID = 40103
     REFRESH_TOKEN_EXPIRED = 40104
     SESSION_REVOKED = 40105
+    SMS_CODE_INVALID = 40110
+    SMS_CODE_EXPIRED = 40111
     FORBIDDEN = 40300
     QUOTA_EXHAUSTED = 40301
     CONSENT_REQUIRED = 40302
@@ -42,6 +44,8 @@ class ErrorCode(IntEnum):
     STATE_CONFLICT = 40900
     TASK_BONUS_ALREADY_CLAIMED = 40910
     RATE_LIMITED = 42900
+    SMS_SEND_TOO_FREQUENT = 42910
+    SMS_DAILY_LIMIT = 42911
 
     # --- 5xxxx server -----------------------------------------------------
     INTERNAL_ERROR = 50000
@@ -58,6 +62,7 @@ class ErrorCode(IntEnum):
     LLM_PROMPT_CACHE_VIOLATION = 60004
     MODERATION_UNAVAILABLE = 60005
     LLM_SCENE_DEGRADED = 60006
+    SMS_PROVIDER_FAILED = 61000
 
 
 @dataclass(frozen=True, slots=True)
@@ -84,6 +89,8 @@ ERROR_META: dict[ErrorCode, ErrorMeta] = {
     ErrorCode.REFRESH_TOKEN_INVALID: ErrorMeta(401, "登录状态无效", "请重新登录"),
     ErrorCode.REFRESH_TOKEN_EXPIRED: ErrorMeta(401, "登录状态已过期", "请重新登录"),
     ErrorCode.SESSION_REVOKED: ErrorMeta(401, "该会话已登出", "请重新登录"),
+    ErrorCode.SMS_CODE_INVALID: ErrorMeta(401, "验证码错误", "请检查后重试"),
+    ErrorCode.SMS_CODE_EXPIRED: ErrorMeta(401, "验证码已过期", "请重新获取"),
     ErrorCode.FORBIDDEN: ErrorMeta(403, "没有访问权限"),
     ErrorCode.QUOTA_EXHAUSTED: ErrorMeta(403, "今日额度已用完", "明天恢复，或完成任务多换几次"),
     ErrorCode.CONSENT_REQUIRED: ErrorMeta(403, "需要先完成授权", "请阅读并同意后继续"),
@@ -98,6 +105,8 @@ ERROR_META: dict[ErrorCode, ErrorMeta] = {
         409, "这个周期的任务奖励已领取", "下个周期再来"
     ),
     ErrorCode.RATE_LIMITED: ErrorMeta(429, "操作太频繁了", "请稍后再试"),
+    ErrorCode.SMS_SEND_TOO_FREQUENT: ErrorMeta(429, "发送太频繁了", "请稍后再试"),
+    ErrorCode.SMS_DAILY_LIMIT: ErrorMeta(429, "今日发送次数已达上限", "明天再试"),
     ErrorCode.INTERNAL_ERROR: ErrorMeta(500, "服务开小差了", "请稍后重试"),
     ErrorCode.DB_ERROR: ErrorMeta(500, "服务开小差了", "请稍后重试"),
     ErrorCode.TASK_STATE_INVALID: ErrorMeta(500, "任务状态异常", "请到任务中心重试"),
@@ -120,6 +129,7 @@ ERROR_META: dict[ErrorCode, ErrorMeta] = {
     ErrorCode.LLM_SCENE_DEGRADED: ErrorMeta(
         503, "该功能今日暂时关闭", "AI 服务今日已达服务上限，明天恢复"
     ),
+    ErrorCode.SMS_PROVIDER_FAILED: ErrorMeta(502, "短信服务暂时不可用", "请稍后重试"),
 }
 
 

packages/shared/models.py

@@ -18,9 +18,11 @@ from datetime import datetime
 from decimal import Decimal
 from typing import Any
 
+from pgvector.sqlalchemy import Vector
 from sqlalchemy import (
     BigInteger,
     Boolean,
+    Computed,
     DateTime,
     Index,
     Integer,
@@ -31,8 +33,9 @@ from sqlalchemy import (
     Text,
     UniqueConstraint,
     func,
+    text,
 )
-from sqlalchemy.dialects.postgresql import JSONB
+from sqlalchemy.dialects.postgresql import JSONB, TSVECTOR
 from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
 
 
@@ -304,3 +307,175 @@ class ObEvent(Base):
         Index("ix_ob_event_name_ts", "event_name", "server_ts"),
         Index("ix_ob_event_user_ts", "user_id", "server_ts"),
     )
+
+
+# ---------------------------------------------------------------------------
+# kb 域（知识库，架构文档 §6.2）
+# ---------------------------------------------------------------------------
+class KbEntity(Base):
+    """12 类实体统一表：attrs JSONB 承载类目差异化字段（架构 §6.2）.
+
+    状态机 draft→reviewing→published→archived 由 service 层校验；
+    published 实体不可直接改（version 递增需回 draft 重走评审）。
+    """
+
+    __tablename__ = "kb_entity"
+
+    entity_id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=False)
+    entity_type: Mapped[str] = mapped_column(String(32), nullable=False)
+    name: Mapped[str] = mapped_column(String(128), nullable=False)
+    attrs: Mapped[dict[str, Any]] = mapped_column(JSONB, nullable=False, default=dict)
+    status: Mapped[str] = mapped_column(String(16), nullable=False, default="draft")
+    version: Mapped[int] = mapped_column(Integer, nullable=False, default=1)
+    source: Mapped[str | None] = mapped_column(String(255))
+    license: Mapped[str | None] = mapped_column(String(64))
+    updated_by: Mapped[str | None] = mapped_column(String(64))
+    created_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), nullable=False, server_default=func.now()
+    )
+    updated_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), nullable=False, server_default=func.now()
+    )
+
+    __table_args__ = (
+        UniqueConstraint("entity_type", "name", name="uq_kb_entity_type_name"),
+        Index("ix_kb_entity_type_status", "entity_type", "status"),
+    )
+
+
+class KbRelation(Base):
+    """邻接表 + 递归 CTE 做 1~3 跳（TD-09：不上 Neo4j）."""
+
+    __tablename__ = "kb_relation"
+
+    relation_id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=False)
+    from_id: Mapped[int] = mapped_column(BigInteger, nullable=False)
+    rel_type: Mapped[str] = mapped_column(String(64), nullable=False)
+    to_id: Mapped[int] = mapped_column(BigInteger, nullable=False)
+    weight: Mapped[Decimal] = mapped_column(Numeric(4, 3), nullable=False, default=Decimal("1"))
+    confidence: Mapped[Decimal] = mapped_column(Numeric(4, 3), nullable=False, default=Decimal("1"))
+    evidence: Mapped[str | None] = mapped_column(String(255))
+    created_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), nullable=False, server_default=func.now()
+    )
+
+    __table_args__ = (
+        UniqueConstraint("from_id", "rel_type", "to_id", name="uq_kb_relation_triple"),
+        Index("ix_kb_relation_to", "to_id"),
+    )
+
+
+class KbRule(Base):
+    """决策表（TD-10 自研规则引擎）。conditions/effects 为 JSONB DSL."""
+
+    __tablename__ = "kb_rule"
+
+    rule_id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=False)
+    rule_key: Mapped[str] = mapped_column(String(64), nullable=False)
+    category: Mapped[str] = mapped_column(String(32), nullable=False)
+    version: Mapped[int] = mapped_column(Integer, nullable=False, default=1)
+    status: Mapped[str] = mapped_column(String(16), nullable=False, default="draft")
+    priority: Mapped[int] = mapped_column(Integer, nullable=False, default=60)
+    conditions: Mapped[dict[str, Any]] = mapped_column(JSONB, nullable=False)
+    effects: Mapped[dict[str, Any]] = mapped_column(JSONB, nullable=False)
+    is_hard: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
+    confidence: Mapped[Decimal] = mapped_column(
+        Numeric(4, 3), nullable=False, default=Decimal("0.9")
+    )
+    evidence: Mapped[str | None] = mapped_column(String(255))
+    author: Mapped[str | None] = mapped_column(String(64))
+    reviewer: Mapped[str | None] = mapped_column(String(64))
+    published_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
+    created_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), nullable=False, server_default=func.now()
+    )
+
+    __table_args__ = (
+        UniqueConstraint("rule_key", name="uq_kb_rule_key"),
+        Index("ix_kb_rule_status_priority", "status", "priority"),
+    )
+
+
+class KbChunk(Base):
+    """向量 + 全文双索引，支撑混合检索（架构 §8.3）.
+
+    embedding_model/version 必填：没有版本号的向量不可重跑（T-P2-03）。
+    tsv 是生成列——写入时不要手工填。
+    """
+
+    __tablename__ = "kb_chunk"
+
+    chunk_id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=False)
+    entity_id: Mapped[int] = mapped_column(BigInteger, nullable=False)
+    chunk_type: Mapped[str] = mapped_column(String(32), nullable=False, default="text")
+    text: Mapped[str] = mapped_column(Text, nullable=False)
+    embedding = mapped_column(Vector(1024), nullable=False)
+    embedding_model: Mapped[str] = mapped_column(String(64), nullable=False)
+    embedding_version: Mapped[str] = mapped_column(String(16), nullable=False)
+    tsv = mapped_column(
+        TSVECTOR, Computed("to_tsvector('simple', text)", persisted=True), nullable=False
+    )
+    created_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), nullable=False, server_default=func.now()
+    )
+
+    __table_args__ = (Index("ix_kb_chunk_entity", "entity_id"),)
+
+
+class KbAsset(Base):
+    """图像资产。tryon_ready 是换装闭环的关键标志位（架构 §6.2）."""
+
+    __tablename__ = "kb_asset"
+
+    asset_id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=False)
+    entity_id: Mapped[int] = mapped_column(BigInteger, nullable=False)
+    asset_type: Mapped[str] = mapped_column(String(32), nullable=False)
+    cos_key: Mapped[str] = mapped_column(String(255), nullable=False)
+    spec_check: Mapped[dict[str, Any]] = mapped_column(JSONB, nullable=False, default=dict)
+    tryon_ready: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
+    review_status: Mapped[str] = mapped_column(String(16), nullable=False, default="pending")
+    license: Mapped[str | None] = mapped_column(String(64))
+    created_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), nullable=False, server_default=func.now()
+    )
+
+    __table_args__ = (
+        Index("ix_kb_asset_entity", "entity_id"),
+        Index("ix_kb_asset_tryon_ready", "tryon_ready", postgresql_where=text("tryon_ready")),
+    )
+
+
+class KbColor(Base):
+    """自建色板（TD-18：规避「四季色彩/CMB」商标）。Lab 用于 ΔE 数值匹配."""
+
+    __tablename__ = "kb_color"
+
+    color_id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=False)
+    season_code: Mapped[str] = mapped_column(String(16), nullable=False)
+    role: Mapped[str] = mapped_column(String(8), nullable=False)
+    lab_l: Mapped[Decimal] = mapped_column(Numeric(6, 2), nullable=False)
+    lab_a: Mapped[Decimal] = mapped_column(Numeric(6, 2), nullable=False)
+    lab_b: Mapped[Decimal] = mapped_column(Numeric(6, 2), nullable=False)
+    hex: Mapped[str] = mapped_column(String(7), nullable=False)
+    name_cn: Mapped[str] = mapped_column(String(64), nullable=False)
+
+    __table_args__ = (Index("ix_kb_color_season", "season_code"),)
+
+
+class KbGap(Base):
+    """知识缺口埋点：无检索结果的查询，驱动内容生产（T-P2-06）."""
+
+    __tablename__ = "kb_gap"
+
+    gap_id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=False)
+    query_text: Mapped[str] = mapped_column(Text, nullable=False)
+    filter_ctx: Mapped[dict[str, Any]] = mapped_column(JSONB, nullable=False, default=dict)
+    hit_count: Mapped[int] = mapped_column(Integer, nullable=False, default=1)
+    first_seen_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), nullable=False, server_default=func.now()
+    )
+    last_seen_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), nullable=False, server_default=func.now()
+    )
+
+    __table_args__ = (Index("ix_kb_gap_query", "query_text"),)

pyproject.toml

@@ -21,9 +21,15 @@ dependencies = [
     "orjson>=3.10",
     "prometheus-client>=0.21",
     "cos-python-sdk-v5>=1.9.44",
+    "tencentcloud-sdk-python-sms>=3.1.153",
 ]
 
 [project.optional-dependencies]
+spike = [
+    # 算法验证 SPIKE（T-P0-10/12/16）专用；模型文件在 models/（已 gitignore）
+    "onnxruntime>=1.20",
+    "opencv-python-headless>=4.10",
+]
 dev = [
     "pytest>=8.3",
     "pytest-asyncio>=0.24",

uv.lock

@@ -706,6 +706,14 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/a7/8e/50f46a9c0ce8d2861a394c1347caae037ea0431d2f67d7feb151cbc4649a/filelock-3.32.3-py3-none-any.whl", hash = "sha256:7f0ca4bcc0e181c60dbbd8aa9ab5b120ebb99e4e064e83636340056f833a1f09", size = 98901, upload-time = "2026-08-13T16:00:03.974Z" },
 ]
 
+[[package]]
+name = "flatbuffers"
+version = "25.12.19"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e8/2d/d2a548598be01649e2d46231d151a6c56d10b964d94043a335ae56ea2d92/flatbuffers-25.12.19-py2.py3-none-any.whl", hash = "sha256:7634f50c427838bb021c2d66a3d1168e9d199b0607e6329399f04846d42e20b4", size = 26661, upload-time = "2025-12-19T23:16:13.622Z" },
+]
+
 [[package]]
 name = "greenlet"
 version = "3.5.5"
@@ -1185,6 +1193,7 @@ dependencies = [
     { name = "sqlalchemy", extra = ["asyncio"] },
     { name = "structlog" },
     { name = "tenacity" },
+    { name = "tencentcloud-sdk-python-sms" },
     { name = "uvicorn", extra = ["standard"] },
 ]
 
@@ -1200,6 +1209,10 @@ dev = [
     { name = "respx" },
     { name = "ruff" },
 ]
+spike = [
+    { name = "onnxruntime" },
+    { name = "opencv-python-headless" },
+]
 
 [package.metadata]
 requires-dist = [
@@ -1212,6 +1225,8 @@ requires-dist = [
     { name = "httpx", specifier = ">=0.28" },
     { name = "import-linter", marker = "extra == 'dev'", specifier = ">=2.1" },
     { name = "mypy", marker = "extra == 'dev'", specifier = ">=1.13" },
+    { name = "onnxruntime", marker = "extra == 'spike'", specifier = ">=1.20" },
+    { name = "opencv-python-headless", marker = "extra == 'spike'", specifier = ">=4.10" },
     { name = "orjson", specifier = ">=3.10" },
     { name = "pgvector", specifier = ">=0.3.6" },
     { name = "pre-commit", marker = "extra == 'dev'", specifier = ">=4.0" },
@@ -1228,9 +1243,10 @@ requires-dist = [
     { name = "sqlalchemy", extras = ["asyncio"], specifier = ">=2.0.36" },
     { name = "structlog", specifier = ">=24.4" },
     { name = "tenacity", specifier = ">=9.0" },
+    { name = "tencentcloud-sdk-python-sms", specifier = ">=3.1.153" },
     { name = "uvicorn", extras = ["standard"], specifier = ">=0.32" },
 ]
-provides-extras = ["dev"]
+provides-extras = ["spike", "dev"]
 
 [[package]]
 name = "mypy"
@@ -1295,6 +1311,130 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/88/b2/d0896bdcdc8d28a7fc5717c305f1a861c26e18c05047949fb371034d98bd/nodeenv-1.10.0-py2.py3-none-any.whl", hash = "sha256:5bb13e3eed2923615535339b3c620e76779af4cb4c6a90deccc9e36b274d3827", size = 23438, upload-time = "2025-12-20T14:08:52.782Z" },
 ]
 
+[[package]]
+name = "numpy"
+version = "2.5.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/9a/80/db0b4559e57ec36362bedbb05530a87fafbcb6067708c946967a41d449e7/numpy-2.5.2.tar.gz", hash = "sha256:d482d171c406ae88c5b19cad3b6a1c4c5209f886ab74bc44c2c865c23f52d860", size = 20773161, upload-time = "2026-08-09T13:48:27.962Z" }
+wheels = [
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