refactor(schema): 重构数据库模型和 schema，清理废弃表

backend/src/v1/agent/schemas.py

@@ -208,15 +208,11 @@ class HistoryAgentOutput(BaseModel):
 
     status: Literal["success", "failed"] | None = None
     sign_level: Literal["上上签", "中上签", "中下签", "下下签"] | None = None
-    summary: str | None = None
     conclusion: list[str] = Field(default_factory=list)
     focus_points: list[str] = Field(default_factory=list)
     advice: list[str] = Field(default_factory=list)
     keywords: list[str] = Field(default_factory=list)
     answer: str | None = None
-    key_points: list[str] = Field(default_factory=list)
-    result_type: str | None = None
-    suggested_actions: list[str] = Field(default_factory=list)
     divination_derived: DerivedDivinationData | None = None
 
 

backend/src/v1/agent/utils.py

@@ -109,11 +109,7 @@ def _extract_worker_agent_output(
         try:
             agent_output = AgentOutput.model_validate(agent_output_data)
         except Exception:
-            normalized_payload = _normalize_agent_output_payload(agent_output_data)
-            try:
-                agent_output = AgentOutput.model_validate(normalized_payload)
-            except Exception:
-                return None
+            return None
 
     if not agent_output:
         return None
@@ -123,37 +119,6 @@ def _extract_worker_agent_output(
     return payload or None
 
 
-def _normalize_agent_output_payload(agent_output_data: Any) -> dict[str, Any] | None:
-    if not isinstance(agent_output_data, dict):
-        return None
-    normalized = dict(agent_output_data)
-    derived = normalized.get("divination_derived")
-    if isinstance(derived, dict):
-        normalized["divination_derived"] = _normalize_divination_derived(derived)
-    return normalized
-
-
-def _normalize_divination_derived(value: Any) -> Any:
-    if isinstance(value, dict):
-        result: dict[str, Any] = {}
-        for key, item in value.items():
-            normalized_key = _snake_to_camel(key)
-            result[normalized_key] = _normalize_divination_derived(item)
-        return result
-    if isinstance(value, list):
-        return [_normalize_divination_derived(item) for item in value]
-    return value
-
-
-def _snake_to_camel(value: str) -> str:
-    if "_" not in value:
-        return value
-    parts = value.split("_")
-    if not parts:
-        return value
-    return parts[0] + "".join(part[:1].upper() + part[1:] for part in parts[1:])
-
-
 def mime_to_suffix(mime_type: str) -> str:
     mapping = {
         "image/png": "png",

backend/src/v1/points/repository.py

@@ -8,7 +8,7 @@ from sqlalchemy.ext.asyncio import AsyncSession
 
 from models.points_ledger import PointsLedger
 from models.user_points import UserPoints
-from schemas.shared.points import ApplyPointsChangeCommand
+from schemas.domain.points import ApplyPointsChangeCommand
 
 
 class PointsRepository:

backend/src/v1/points/service.py

@@ -8,7 +8,7 @@ from uuid import UUID, uuid4
 from core.http.errors import ApiProblemError, problem_payload
 from schemas.domain.points import ConsumeLedgerMetadata, PointsChargeSnapshot
 from schemas.enums import PointsBizType, PointsChangeType, PointsOperatorType
-from schemas.shared.points import ApplyPointsChangeCommand
+from schemas.domain.points import ApplyPointsChangeCommand
 from v1.points.repository import PointsRepository
 
 RUN_POINTS_COST = 20