Fix/memory bug fix (#171)

This commit is contained in:
lixinyue11
2026-01-26 11:53:34 +08:00
committed by GitHub
parent 714c624dc6
commit 3601737869
119 changed files with 1711 additions and 1695 deletions

View File

@@ -299,6 +299,18 @@ class AppRelease(BaseModel):
created_at: datetime.datetime
updated_at: datetime.datetime
@field_validator("config", mode="before")
@classmethod
def parse_config(cls, v):
"""处理 config 字段,如果是字符串则解析为字典"""
if isinstance(v, str):
import json
try:
return json.loads(v)
except json.JSONDecodeError:
return {}
return v if v is not None else {}
@field_serializer("created_at", when_used="json")
def _serialize_created_at(self, dt: datetime.datetime):
return int(dt.timestamp() * 1000) if dt else None

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@@ -1,11 +1,12 @@
"""情绪分析相关的请求和响应模型"""
from typing import Optional
from uuid import UUID
from pydantic import BaseModel, Field
class EmotionTagsRequest(BaseModel):
"""获取情绪标签统计请求"""
group_id: str = Field(..., description="组ID")
end_user_id: str = Field(..., description="组ID")
emotion_type: Optional[str] = Field(None, description="情绪类型过滤joy/sadness/anger/fear/surprise/neutral")
start_date: Optional[str] = Field(None, description="开始日期ISO格式2024-01-01")
end_date: Optional[str] = Field(None, description="结束日期ISO格式2024-12-31")
@@ -14,14 +15,14 @@ class EmotionTagsRequest(BaseModel):
class EmotionWordcloudRequest(BaseModel):
"""获取情绪词云数据请求"""
group_id: str = Field(..., description="组ID")
end_user_id: str = Field(..., description="组ID")
emotion_type: Optional[str] = Field(None, description="情绪类型过滤joy/sadness/anger/fear/surprise/neutral")
limit: int = Field(50, ge=1, le=200, description="返回词语数量")
class EmotionHealthRequest(BaseModel):
"""获取情绪健康指数请求"""
group_id: str = Field(..., description="组ID")
end_user_id: str = Field(..., description="组ID")
time_range: str = Field("30d", description="时间范围7d/30d/90d")
@@ -29,8 +30,8 @@ class EmotionHealthRequest(BaseModel):
class EmotionSuggestionsRequest(BaseModel):
"""获取个性化情绪建议请求"""
group_id: str = Field(..., description="组ID")
config_id: Optional[int] = Field(None, description="配置ID用于指定LLM模型")
end_user_id: str = Field(..., description="组ID")
config_id: Optional[UUID] = Field(None, description="配置ID用于指定LLM模型")
class EmotionGenerateSuggestionsRequest(BaseModel):

View File

@@ -7,11 +7,11 @@ class UserInput(BaseModel):
message: str
history: list[dict]
search_switch: str
group_id: str
end_user_id: str
config_id: Optional[str] = None
class Write_UserInput(BaseModel):
messages: list[dict]
group_id: str
config_id: Optional[str] = None
end_user_id: str
config_id: Optional[str] = None

View File

@@ -35,7 +35,7 @@ class ConfigurationError(Exception):
def __init__(
self,
message: str,
config_id: Optional[int] = None,
config_id: Optional[UUID] = None,
workspace_id: Optional[UUID] = None,
context: Optional[Dict[str, Any]] = None,
):
@@ -72,7 +72,7 @@ class WorkspaceNotFoundError(ConfigurationError):
def __init__(
self,
workspace_id: UUID,
config_id: Optional[int] = None,
config_id: Optional[UUID] = None,
message: Optional[str] = None,
):
if message is None:
@@ -89,7 +89,7 @@ class ModelNotFoundError(ConfigurationError):
self,
model_id: Union[str, UUID],
model_type: str,
config_id: Optional[int] = None,
config_id: Optional[UUID] = None,
workspace_id: Optional[UUID] = None,
message: Optional[str] = None,
):
@@ -112,7 +112,7 @@ class ModelInactiveError(ConfigurationError):
model_id: Union[str, UUID],
model_name: str,
model_type: str,
config_id: Optional[int] = None,
config_id: Optional[UUID] = None,
workspace_id: Optional[UUID] = None,
message: Optional[str] = None,
):
@@ -136,7 +136,7 @@ class InvalidConfigError(ConfigurationError):
message: str,
field_name: Optional[str] = None,
invalid_value: Optional[Any] = None,
config_id: Optional[int] = None,
config_id: Optional[UUID] = None,
workspace_id: Optional[UUID] = None,
):
context = {}
@@ -155,7 +155,7 @@ class InvalidConfigError(ConfigurationError):
class MemoryConfigValidation(BaseModel):
"""Pydantic model for validating memory configuration data from database."""
config_id: int = Field(..., gt=0, description="Configuration ID must be positive")
config_id: UUID = Field(..., description="Configuration ID (UUID)")
config_name: str = Field(..., min_length=1, max_length=255)
workspace_id: UUID = Field(..., description="Workspace UUID")
workspace_name: str = Field(..., min_length=1, max_length=255)
@@ -275,7 +275,7 @@ class ModelValidation(BaseModel):
def validate_memory_config_data(
config_data: Dict[str, Any], config_id: Optional[int] = None
config_data: Dict[str, Any], config_id: Optional[UUID] = None
) -> MemoryConfigValidation:
"""Validate memory configuration data using Pydantic model."""
try:
@@ -302,7 +302,7 @@ def validate_memory_config_data(
def validate_workspace_data(
workspace_data: Dict[str, Any], config_id: Optional[int] = None
workspace_data: Dict[str, Any], config_id: Optional[UUID] = None
) -> WorkspaceValidation:
"""Validate workspace data using Pydantic model."""
try:
@@ -331,7 +331,7 @@ def validate_workspace_data(
def validate_model_data(
model_data: Dict[str, Any], config_id: Optional[int] = None
model_data: Dict[str, Any], config_id: Optional[UUID] = None
) -> ModelValidation:
"""Validate model data using Pydantic model."""
try:
@@ -364,7 +364,7 @@ def validate_model_data(
class MemoryConfig:
"""Immutable memory configuration loaded from database."""
config_id: int
config_id: UUID
config_name: str
workspace_id: UUID
workspace_name: str

View File

@@ -4,7 +4,7 @@ from typing import Optional
from pydantic import BaseModel, Field
from app.models.memory_perceptual_model import PerceptualType, FileStorageType
from app.models.memory_perceptual_model import PerceptualType, FileStorageService
class PerceptualFilter(BaseModel):
@@ -38,12 +38,14 @@ class PerceptualMemoryItem(BaseModel):
"""感知记忆项"""
id: uuid.UUID = Field(..., description="Unique memory ID")
perceptual_type: PerceptualType = Field(..., description="Type of perception, e.g., text, audio, or video")
storage_service: FileStorageService = Field(..., description="Storage service for file")
file_path: str = Field(..., description="File path in the storage service")
file_ext: str = Field(..., description="File extension")
file_name: str = Field(..., description="File name")
file_ext: str = Field(..., description="File extension")
summary: Optional[str] = Field(None, description="summary")
storage_type: FileStorageType = Field(..., description="Storage type for file")
meta_data: Optional[dict] = Field(None, description="Metadata information")
created_time: int = Field(..., description="create time")
topic: str = Field(..., description="topic")
domain: str = Field(..., description="domain")
keywords: list[str] = Field(..., description="keywords")

View File

@@ -1,5 +1,6 @@
from pydantic import BaseModel, Field
from typing import Optional
from uuid import UUID
from enum import Enum
@@ -9,7 +10,7 @@ class OptimizationStrategy(str, Enum):
ACCURACY_FIRST = "accuracy_first"
BALANCED = "balanced"
class Memory_Reflection(BaseModel):
config_id: Optional[int] = None
config_id: Optional[UUID] = None
reflection_enabled: bool
reflection_period_in_hours: str
reflexion_range: Optional[str] = "partial"

View File

@@ -1,5 +1,5 @@
"""
所有的内容是放错误地方了应该放在models
"""
from typing import Any, Optional, List, Dict, Literal, Union
@@ -8,20 +8,8 @@ import uuid
from pydantic import BaseModel, Field, ConfigDict, field_validator, model_validator
# ============================================================================
# 原 UserInput 相关 Schema (保留原有功能)
# ============================================================================
class UserInput(BaseModel):
message: str
history: list[dict]
search_switch: str
group_id: str
class Write_UserInput(BaseModel):
message: str
group_id: str
# ============================================================================
# 从 json_schema.py 迁移的 Schema
@@ -159,7 +147,7 @@ class ReflexionResultSchema(BaseModel):
# Composite key identifying a config row
class ConfigKey(BaseModel): # 配置参数键模型
model_config = ConfigDict(populate_by_name=True, extra="forbid")
config_id: int = Field("config_id", description="配置唯一标识(字符串")
config_id: uuid.UUID = Field("config_id", description="配置唯一标识(UUID")
user_id: str = Field("user_id", description="用户标识(字符串)")
apply_id: str = Field("apply_id", description="应用或场景标识(字符串)")
@@ -250,17 +238,17 @@ class ConfigParamsCreate(BaseModel): # 创建配置参数模型(仅 body
class ConfigParamsDelete(BaseModel): # 删除配置参数模型(请求体)
model_config = ConfigDict(populate_by_name=True, extra="forbid")
# config_name: str = Field("配置名称", description="配置名称(字符串)")
config_id: int = Field("配置ID", description="配置ID字符串")
config_id: uuid.UUID = Field("配置ID", description="配置IDUUID")
class ConfigUpdate(BaseModel): # 更新记忆萃取引擎配置参数时使用的模型
config_id: Optional[int] = None
config_id: Optional[uuid.UUID] = None
config_name: str = Field("配置名称", description="配置名称(字符串)")
config_desc: str = Field("配置描述", description="配置描述(字符串)")
class ConfigUpdateExtracted(BaseModel): # 更新记忆萃取引擎配置参数时使用的模型
config_id: Optional[int] = None
config_id: Optional[uuid.UUID] = None
llm_id: Optional[str] = Field(None, description="LLM模型配置ID")
embedding_id: Optional[str] = Field(None, description="嵌入模型配置ID")
rerank_id: Optional[str] = Field(None, description="重排序模型配置ID")
@@ -327,14 +315,14 @@ class ConfigUpdateExtracted(BaseModel): # 更新记忆萃取引擎配置参数
class ConfigUpdateForget(BaseModel): # 更新遗忘引擎配置参数时使用的模型
# 遗忘引擎配置参数更新模型
config_id: Optional[int] = None
config_id: Optional[uuid.UUID] = None
lambda_time: Optional[float] = Field(0.5, ge=0.0, le=1.0, description="最低保持度0-1 小数;默认 0.5")
lambda_mem: Optional[float] = Field(0.5, ge=0.0, le=1.0, description="遗忘率0-1 小数;默认 0.5")
offset: Optional[float] = Field(0.0, ge=0.0, le=1.0, description="偏移度0-1 小数;默认 0.0")
class ConfigPilotRun(BaseModel): # 试运行触发请求模型
config_id: int = Field(..., description="配置ID唯一")
config_id: uuid.UUID = Field(..., description="配置ID唯一")
dialogue_text: str = Field(..., description="前端传入的对话文本,格式如 '用户: ...\nAI: ...' 可多行,试运行必填")
model_config = ConfigDict(populate_by_name=True, extra="forbid")
@@ -342,7 +330,7 @@ class ConfigPilotRun(BaseModel): # 试运行触发请求模型
class ConfigFilter(BaseModel): # 查询配置参数时使用的模型
model_config = ConfigDict(populate_by_name=True, extra="forbid")
config_id: Optional[int] = None
config_id: Optional[uuid.UUID] = None
user_id: Optional[str] = None
apply_id: Optional[str] = None
@@ -418,7 +406,7 @@ class ForgettingConfigResponse(BaseModel):
"""遗忘引擎配置响应模型"""
model_config = ConfigDict(populate_by_name=True, extra="forbid")
config_id: int = Field(..., description="配置ID")
config_id: uuid.UUID = Field(..., description="配置ID")
decay_constant: float = Field(..., description="衰减常数 d")
lambda_time: float = Field(..., description="时间衰减参数")
lambda_mem: float = Field(..., description="记忆衰减参数")
@@ -436,7 +424,7 @@ class ForgettingConfigUpdateRequest(BaseModel):
"""遗忘引擎配置更新请求模型"""
model_config = ConfigDict(populate_by_name=True, extra="forbid")
config_id: int = Field(..., description="配置ID")
config_id: uuid.UUID = Field(..., description="配置ID")
decay_constant: Optional[float] = Field(None, ge=0.0, le=1.0, description="衰减常数 d")
lambda_time: Optional[float] = Field(None, ge=0.0, le=1.0, description="时间衰减参数")
lambda_mem: Optional[float] = Field(None, ge=0.0, le=1.0, description="记忆衰减参数")
@@ -511,7 +499,7 @@ class ForgettingCurveRequest(BaseModel):
importance_score: float = Field(0.5, ge=0.0, le=1.0, description="重要性分数0-1")
days: int = Field(60, ge=1, le=365, description="模拟天数默认60天")
config_id: Optional[int] = Field(None, description="配置ID可选如果为None则使用默认配置")
config_id: Optional[uuid.UUID] = Field(None, description="配置ID可选如果为None则使用默认配置")
class ForgettingCurveResponse(BaseModel):

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@@ -1,4 +1,4 @@
from pydantic import BaseModel, Field, field_serializer, ConfigDict
from pydantic import BaseModel, Field, field_serializer, field_validator, ConfigDict
from typing import Optional, List, Dict, Any
import datetime
import uuid
@@ -91,6 +91,18 @@ class ModelApiKey(ModelApiKeyBase):
created_at: datetime.datetime
updated_at: datetime.datetime
@field_validator("config", mode="before")
@classmethod
def parse_config(cls, v):
"""处理 config 字段,如果是字符串则解析为字典"""
if isinstance(v, str):
import json
try:
return json.loads(v)
except json.JSONDecodeError:
return {}
return v
@field_serializer("created_at", when_used="json")
def _serialize_created_at(self, dt: datetime.datetime):
return int(dt.timestamp() * 1000) if dt else None

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@@ -1,7 +1,7 @@
import uuid
import datetime
from typing import Optional, List, Dict, Any
from pydantic import BaseModel, Field, ConfigDict, field_serializer
from pydantic import BaseModel, Field, ConfigDict, field_serializer, field_validator
# ---------- Input Schemas ----------
@@ -88,6 +88,18 @@ class SharedReleaseInfo(BaseModel):
# 嵌入配置
allow_embed: bool
@field_validator("config", mode="before")
@classmethod
def parse_config(cls, v):
"""处理 config 字段,如果是字符串则解析为字典"""
if isinstance(v, str):
import json
try:
return json.loads(v)
except json.JSONDecodeError:
return {}
return v if v is not None else {}
class EmbedCode(BaseModel):
"""嵌入代码"""