Merge #32 into develop from fix/memory_reflection

更新 self_reflexion.py

* fix/memory_reflection: (50 commits squashed)

  - 新增反思功能(功能配置接口+反思celery后台检测反思的迭代周期)

  - 新增反思功能(功能配置接口+反思celery后台检测反思的迭代周期)

  - 新增反思功能(检测代码/规范化程序)

  - 新增反思功能(检测代码/规范化程序)

  - 新增反思功能(检测代码/规范化程序)

  - 新增反思功能(检测代码/规范化程序)

  - 新增反思功能(检测代码/规范化程序)

  - 反思优化

  - 反思优化

  - 反思优化

  - 反思优化

  - 反思优化

  - 反思优化

  - 反思优化

  - 反思优化

  - 反思优化

  - 反思优化

  - 反思优化

  - 反思优化

  - 反思优化

  - 反思优化

  - 反思优化

  - 反思优化

  - 反思优化

  - 反思优化

  - Merge branch develop into fix/memory_reflection (Conflict resolved online)
    
    
    # Conflicts:  
    #      api/app/controllers/memory_reflection_controller.py
    #      api/app/schemas/memory_reflection_schemas.py

  - 反思优化

  - Merge remote-tracking branch 'origin/fix/memory_reflection' into fix/memory_reflection

  - 统一输出

  - 统一输出

  - 统一输出

  - Merge branch develop into fix/memory_reflection (Conflict resolved online)
    
    
    # Conflicts:  
    #      api/app/controllers/memory_reflection_controller.py

  - 统一输出

  - Merge remote-tracking branch 'origin/fix/memory_reflection' into fix/memory_reflection

  - 统一输出

  - 反思速度提升,从4分钟优化成1分10-40秒

  - 反思速度提升,从4分钟优化成1分10-40秒

  - 反思速度提升,从4分钟优化成1分10-40秒

  - Merge branch develop into fix/memory_reflection (Conflict resolved online)
    
    
    # Conflicts:  
    #      api/app/core/memory/storage_services/reflection_engine/self_reflexion.py

  - 反思速度提升,从4分钟优化成1分10-40秒

  - Merge remote-tracking branch 'origin/fix/memory_reflection' into fix/memory_reflection
    
    # Conflicts:
    #	api/app/core/memory/storage_services/reflection_engine/self_reflexion.py

  - 更新 self_reflexion.py

  - 反思图谱添加边的修改

  - Merge remote-tracking branch 'origin/fix/memory_reflection' into fix/memory_reflection
    
    # Conflicts:
    #	api/app/core/memory/storage_services/reflection_engine/self_reflexion.py

  - 反思图谱添加边的修改

  - 反思图谱添加边的修改

  - 反思图谱添加边的修改

  - 反思图谱添加边的修改

  - 反思图谱添加边的修改

  - update
    
    
    # Conflicts:  
    #      api/app/core/memory/storage_services/reflection_engine/self_reflexion.py
    #      api/app/core/memory/utils/prompt/prompts/reflexion.jinja2

Signed-off-by: aliyun8644380055 <accounts_68c0f5d519f260d93ee2997e@mail.teambition.com>
Reviewed-by: aliyun6762716068 <accounts_68cb7c6b61f5dcc4200d6251@mail.teambition.com>
Merged-by: aliyun6762716068 <accounts_68cb7c6b61f5dcc4200d6251@mail.teambition.com>

CR-link: https://codeup.aliyun.com/redbearai/python/redbear-mem-open/change/32
This commit is contained in:
李新月
2025-12-22 12:26:45 +00:00
committed by 孙科
parent 6d41a12c8f
commit cd644b6eab
6 changed files with 254 additions and 130 deletions

View File

@@ -18,17 +18,10 @@ from enum import Enum
import uuid
from pydantic import BaseModel
from app.core.response_utils import success
from app.repositories.neo4j.cypher_queries import neo4j_query_part, neo4j_statement_part, neo4j_query_all, neo4j_statement_all
from app.repositories.neo4j.neo4j_update import neo4j_data
from app.core.memory.llm_tools.openai_client import OpenAIClient
from app.core.memory.utils.config import definitions as config_defs
from app.core.memory.utils.config import get_model_config
from app.core.memory.utils.config.get_data import get_data
from app.core.memory.utils.config.get_data import get_data_statement
from app.core.memory.utils.config.get_data import get_data,get_data_statement,extract_and_process_changes
from app.core.memory.utils.llm.llm_utils import get_llm_client
from app.core.memory.utils.prompt.template_render import render_evaluate_prompt
from app.core.memory.utils.prompt.template_render import render_reflexion_prompt
@@ -45,7 +38,6 @@ from app.repositories.neo4j.neo4j_update import neo4j_data
from app.schemas.memory_storage_schema import ConflictResultSchema
from app.schemas.memory_storage_schema import ReflexionResultSchema
# 配置日志
_root_logger = logging.getLogger()
if not _root_logger.handlers:
@@ -241,8 +233,7 @@ class ReflectionEngine:
print(100 * '-')
print(conflict_data)
print(100 * '-')
# 检查是否真的有冲突
# # 检查是否真的有冲突
has_conflict = conflict_data[0].get('conflict', False)
conflicts_found = len(conflict_data[0]['data']) if has_conflict else 0
logging.info(f"冲突状态: {has_conflict}, 发现 {conflicts_found} 个冲突")
@@ -270,7 +261,7 @@ class ReflectionEngine:
await self._log_data("solved_data", solved_data)
# 4. 应用反思结果(更新记忆库)
memories_updated = await self._apply_reflection_results(solved_data)
memories_updated=await self._apply_reflection_results(solved_data)
execution_time = asyncio.get_event_loop().time() - start_time
@@ -297,6 +288,7 @@ class ReflectionEngine:
async def reflection_run(self):
self._lazy_init()
start_time = time.time()
memory_verifies_flag = self.config.memory_verify
asyncio.get_event_loop().time()
logging.info("====== 自我反思流程开始 ======")
@@ -316,8 +308,8 @@ class ReflectionEngine:
for item in conflict_data:
quality_assessments.append(item['quality_assessment'])
memory_verifies.append(item['memory_verify'])
result_data['quality_assessments'] = quality_assessments
result_data['memory_verifies'] = memory_verifies
result_data['quality_assessments'] = quality_assessments
# 检查是否真的有冲突
has_conflict = conflict_data[0].get('conflict', False)
@@ -354,6 +346,9 @@ class ReflectionEngine:
for result in item['results']:
reflexion_data.append(result['reflexion'])
result_data['reflexion_data'] = reflexion_data
if memory_verifies_flag==False:
result_data['memory_verifies']=[None]
print(time.time()-start_time,'----------')
return result_data
@@ -561,7 +556,8 @@ class ReflectionEngine:
Returns:
int: 成功更新的记忆数量
"""
success_count = await neo4j_data(solved_data)
changes = extract_and_process_changes(solved_data)
success_count = await neo4j_data(changes)
return success_count
async def _log_data(self, label: str, data: Any) -> None:
@@ -668,4 +664,4 @@ class ReflectionEngine:
execution_time=time_result.execution_time + fact_result.execution_time
)
else:
raise ValueError(f"未知的反思基线: {self.config.baseline}")
raise ValueError(f"未知的反思基线: {self.config.baseline}")

View File

@@ -3,6 +3,20 @@ import uuid
import logging
from typing import List, Dict, Any
from openai import BaseModel
import json
import sys
from pathlib import Path
from pydantic import model_validator, Field
from app.schemas.memory_storage_schema import SingleReflexionResultSchema
from app.schemas.memory_storage_schema import ReflexionResultSchema
from app.repositories.neo4j.neo4j_update import map_field_names
# 添加项目根目录到 Python 路径
sys.path.append(str(Path(__file__).parent))
logger = logging.getLogger(__name__)
async def _load_(data: List[Any]) -> List[Dict]:
@@ -59,6 +73,14 @@ async def get_data(result):
"""
从数据库中获取数据
"""
EXCLUDE_FIELDS = {
"user_id",
"group_id",
"entity_type",
"connect_strength",
"relationship_type",
"apply_id"
}
neo4j_databasets=[]
for item in result:
filtered_item = {}
@@ -73,14 +95,17 @@ async def get_data(result):
rel_filtered['statement_id'] = value.get('statement_id')
rel_filtered['expired_at'] = value.get('expired_at')
rel_filtered['created_at'] = value.get('created_at')
filtered_item[key] = rel_filtered
filtered_item[key] = value
elif key == 'entity2' and value is not None:
# 过滤entity2的name_embedding字段
entity2_filtered = {}
if hasattr(value, 'items'):
for e_key, e_value in value.items():
if 'name_embedding' not in e_key.lower():
entity2_filtered[e_key] = e_value
if e_key in EXCLUDE_FIELDS:
continue
if 'name_embedding' in e_key.lower():
continue
entity2_filtered[e_key] = e_value
filtered_item[key] = entity2_filtered
else:
filtered_item[key] = value
@@ -94,8 +119,57 @@ async def get_data_statement( result):
neo4j_databasets.append(i)
return neo4j_databasets
class ReflexionResultSchema(BaseModel):
"""Schema for the complete reflexion result data - a list of individual conflict resolutions."""
results: List[SingleReflexionResultSchema] = Field(..., description="List of individual conflict resolution results, grouped by conflict type.")
@model_validator(mode="before")
def _normalize_resolved(cls, v):
if isinstance(v, dict):
conflict = v.get("conflict")
if isinstance(conflict, dict) and conflict.get("conflict") is False:
v["resolved"] = None
else:
resolved = v.get("resolved")
if isinstance(resolved, dict):
orig = resolved.get("original_memory_id")
mem = resolved.get("resolved_memory")
if orig is None and (mem is None or mem == {}):
v["resolved"] = None
return v
def extract_and_process_changes(DATA):
"""提取并处理 change 字段"""
all_changes = []
for i, item in enumerate(DATA):
try:
result = ReflexionResultSchema(**item)
for j, res in enumerate(result.results):
if res.resolved and res.resolved.change:
for k, change in enumerate(res.resolved.change):
change_data = {}
for field_item in change.field:
for key, value in field_item.items():
change_data[key] = value
if isinstance(value, list):
print(f" - {key}: {value[0]} -> {value[1]}")
else:
print(f" - {key}: {value}")
all_changes.append({
'data': change_data
})
# 测试字段映射
try:
mapped = map_field_names(change_data)
print(f" 映射结果: {mapped}")
except Exception as e:
print(f" 映射失败: {e}")
except Exception as e:
print(f"处理结果 {i + 1} 失败: {e}")
return all_changes
if __name__ == "__main__":
import asyncio

View File

@@ -61,7 +61,7 @@
- 微信号: user123456 → use****3456
- 邮箱: zhang.san@example.com → zha****@example.com
**脱敏字段**: name、entity1_name、entity2_name、description
**脱敏字段**: name、entity1_name、entity2_name、description、relationship
## 4. 处理流程
@@ -97,21 +97,11 @@
### 处理规则
**情况1: 正确答案存在于data中**
- 保留正确记录不变
- 时间冲突: 修改错误记录的expired_at为当前时间(2025-12-16T12:00:00)
- 事实冲突: 同样处理
- resolved.resolved_memory只包含被设为失效的错误记录
- change字段只记录expired_at变更: `[{"expired_at": "2025-12-16T12:00:00"}]`
- 注意: 如果已存在时间则不需要修改
**情况2: 正确答案不存在于data中**
- 选择最合适记录进行修改
- 更新相关字段:
- description字段: 添加或修改描述信息{% if memory_verify %}(含隐私信息需脱敏){% endif %}
- name字段: 修改名称字段{% if memory_verify %}(含隐私信息需脱敏){% endif %}
- resolved.resolved_memory包含修改后的完整记录{% if memory_verify %}(已脱敏){% endif %}
- change字段记录所有被修改字段{% if memory_verify %},包括脱敏变更{% endif %}
** baseline是TIME
-保留正确记录不变修改错误记录的expired_at为当前时间(2025-12-16T12:00:00),以及name需要修改成正确的
** baseline不是TIME
- 修改字段内容( name、entity1_name、entity2_name、description、relationship字段内容是否正确如果不正确需要对这些字段的内容重新生成则不需要修改expired_at字段,
如果涉及到修改entity1_name/entity2_name字段的时候同时也需要修改description字段输出修改前和修改后的放入change里面的field
**核心原则**:
- 只输出需要修改的记录
@@ -126,8 +116,10 @@
"change": [
{
"field": [
{"字段名1": "修改后的值1"},
{"字段名2": "修改后的值2"}
{"id":修改字段对应的ID}
{"statement_id":需要修改的对象对应的statement_id}
{"字段名1": ["修改前的值1","修改后的值1"]},
{"字段名2": ["修改前的值2","修改后的值2"]}
]
}
]
@@ -149,7 +141,8 @@
**嵌套字段映射**(系统自动处理):
- `entity2.name` → 自动映射为 `name`
- `entity1.name` → 自动映射为 `name`
- `entity1.name` → 自动映射为 `name`
- `relationship` → 自动映射为 `statement`
- `entity1.description` → 自动映射为 `description`
- `entity2.description` → 自动映射为 `description`

View File

@@ -783,7 +783,9 @@ neo4j_query_part = """
m.created_at as created_at,
m.expired_at as expired_at,
CASE WHEN rel IS NULL THEN "NO_RELATIONSHIP" ELSE type(rel) END as relationship_type,
rel as relationship,
rel.predicate as predicate,
rel.statement as relationship,
rel.statement_id as relationship_statement_id,
CASE WHEN other IS NULL THEN "ISOLATED_NODE" ELSE other.name END as entity2_name,
other as entity2
"""
@@ -799,7 +801,9 @@ neo4j_query_all = """
m.created_at as created_at,
m.expired_at as expired_at,
CASE WHEN rel IS NULL THEN "NO_RELATIONSHIP" ELSE type(rel) END as relationship_type,
rel as relationship,
rel.predicate as predicate,
rel.statement as relationship,
rel.statement_id as relationship_statement_id,
CASE WHEN other IS NULL THEN "ISOLATED_NODE" ELSE other.name END as entity2_name,
other as entity2
"""

View File

@@ -67,11 +67,81 @@ async def update_neo4j_data(neo4j_dict_data, update_databases):
traceback.print_exc()
return False
async def update_neo4j_data_edge(neo4j_dict_data, update_databases):
"""
Update Neo4j data based on query criteria and update parameters
Args:
neo4j_dict_data: find
update_databases: update
"""
try:
# 构建WHERE条件
where_conditions = []
params = {}
for key, value in neo4j_dict_data.items():
if value is not None:
param_name = f"param_{key}"
where_conditions.append(f"r.{key} = ${param_name}")
params[param_name] = value
where_clause = " AND ".join(where_conditions) if where_conditions else "1=1"
# 构建SET条件
set_conditions = []
for key, value in update_databases.items():
if value is not None:
param_name = f"update_{key}"
set_conditions.append(f"r.{key} = ${param_name}")
params[param_name] = value
set_clause = ", ".join(set_conditions)
if not set_clause:
print("警告: 没有需要更新的字段")
return False
# 构建Cypher查询
cypher_query = f"""
MATCH (n)-[r]->(m)
WHERE {where_clause}
SET {set_clause}
RETURN count(r) as updated_count, collect(type(r)) as relation_types
"""
print(f"\n执行Cypher查询: {cypher_query}")
print(f"参数: {params}")
# 执行更新
result = await neo4j_connector.execute_query(cypher_query, **params)
if result:
updated_count = result[0].get('updated_count', 0)
updated_names = result[0].get('updated_names', [])
print(f"成功更新 {updated_count} 个节点")
if updated_names:
print(f"更新的实体名称: {updated_names}")
return updated_count > 0
else:
return False
except Exception as e:
print(f"更新过程中出现错误: {e}")
import traceback
traceback.print_exc()
return False
def map_field_names(data_dict):
mapped_dict = {}
has_name_field = False
# 辅助函数:提取值(如果是数组则取最后一个值,否则直接返回)
def extract_value(value):
if isinstance(value, list) and len(value) > 0:
# 如果是数组 [old_value, new_value],取新值(最后一个)
return value[-1]
return value
# 第一遍检查是否有name相关字段
for key, value in data_dict.items():
if key in ['name', 'entity2.name', 'entity1.name']:
@@ -82,22 +152,25 @@ def map_field_names(data_dict):
# 第二遍:根据规则映射和过滤字段
for key, value in data_dict.items():
# 提取实际值(处理数组格式)
actual_value = extract_value(value)
if key == 'entity2.name' or key == 'entity2_name':
# 将 entity2.name 映射为 name
mapped_dict['name'] = value
print(f"字段名映射: {key} -> name")
mapped_dict['name'] = actual_value
print(f"字段名映射: {key} -> name (值: {value} -> {actual_value})")
elif key == 'entity1.name' or key == 'entity1_name':
# 将 entity1.name 映射为 name
mapped_dict['name'] = value
print(f"字段名映射: {key} -> name")
mapped_dict['name'] = actual_value
print(f"字段名映射: {key} -> name (值: {value} -> {actual_value})")
elif key == 'entity1.description':
# 将 entity1.description 映射为 description
mapped_dict['description'] = value
print(f"字段名映射: {key} -> description")
mapped_dict['description'] = actual_value
print(f"字段名映射: {key} -> description (值: {value} -> {actual_value})")
elif key == 'entity2.description':
# 将 entity2.description 映射为 description
mapped_dict['description'] = value
print(f"字段名映射: {key} -> description")
mapped_dict['description'] = actual_value
print(f"字段名映射: {key} -> description (值: {value} -> {actual_value})")
elif key == 'relationship_type':
# 跳过relationship_type字段
print(f"字段过滤: 跳过不需要的字段 '{key}'")
@@ -109,8 +182,8 @@ def map_field_names(data_dict):
continue
else:
# 如果没有name字段保留entity1_name
mapped_dict[key] = value
print(f"字段保留: {key}")
mapped_dict[key] = actual_value
print(f"字段保留: {key} (值: {value} -> {actual_value})")
elif key == 'entity2_name':
if has_name_field:
# 如果有name字段跳过entity2_name
@@ -122,7 +195,11 @@ def map_field_names(data_dict):
continue
elif '.' not in key:
# 不包含点号的其他字段直接保留
mapped_dict[key] = value
mapped_dict[key] = actual_value
if isinstance(value, list):
print(f"字段保留: {key} (数组值: {value} -> {actual_value})")
else:
print(f"字段保留: {key}")
else:
# 其他包含点号的字段跳过并警告
print(f"警告: 跳过不支持的嵌套字段 '{key}'")
@@ -139,89 +216,57 @@ async def neo4j_data(solved_data):
"""
success_count = 0
ori_entity = {}
updata_entity = {}
ori_edge = {}
updata_edge = {}
ori_expired_at={}
updat_expired_at={}
for i in solved_data:
neo4j_dict_data = {}
update_databases = {}
results = i['results']
for data in results:
resolved = data.get('resolved')
if not resolved:
print("跳过resolved为None")
databasets = i['data']
for key, values in databasets.items():
if str(values)=='NONE':
continue
if isinstance(values, list):
if key == 'description':
ori_entity[key] = values[0]
updata_entity[key] = values[1]
if key == 'entity2_name' or key == 'entity1_name':
key = 'name'
ori_entity[key] = values[0]
updata_entity[key] = values[1]
ori_expired_at[key] = values[0]
if key == 'statement':
ori_edge[key] = values[0]
updata_edge[key] = values[1]
if key=='expired_at':
updat_expired_at[key] = values[1]
try:
change_list = resolved.get('change', [])
except (AttributeError, TypeError):
change_list = []
elif key == 'statement_id':
ori_edge[key] = values
updata_edge[key] = values
if change_list == []:
print("跳过change_list为空")
continue
ori_entity[key] = values
updata_entity[key] = values
if change_list and len(change_list) > 0:
change = change_list[0]
print(f"change: {change}")
field_data = change.get('field', [])
print(f"field_data: {field_data}")
print(f"field_data type: {type(field_data)}")
# 字段名映射和过滤函数
ori_expired_at[key] = values
# 处理field数据可能是字典或列表
if isinstance(field_data, dict):
# 如果是字典,映射字段名后更新
mapped_data = map_field_names(field_data)
update_databases.update(mapped_data)
elif isinstance(field_data, list):
# 如果是列表,遍历每个字典并更新
for field_item in field_data:
if isinstance(field_item, dict):
mapped_item = map_field_names(field_item)
update_databases.update(mapped_item)
else:
print(f"警告: field_item不是字典: {field_item}")
else:
print(f"警告: field_data类型不支持: {type(field_data)}")
if 'entity1_name' in data:
data['name'] = data.pop('entity1_name')
if 'entity2_name' in data:
data.pop('entity2_name', None)
resolved_memory = resolved.get('resolved_memory', {})
entity2 = None
if isinstance(resolved_memory, dict):
entity2 = resolved_memory.get('entity2')
if entity2 and isinstance(entity2, dict) and len(entity2) >= 5:
stat_id = resolved.get('original_memory_id')
# 安全地获取description
statement_id = None
if isinstance(resolved_memory, dict):
statement_id = resolved_memory.get('statement_id')
# 只有当neo4j_dict_data中还没有statement_id时才使用original_memory_id
if statement_id and 'id' not in neo4j_dict_data:
neo4j_dict_data['id'] = stat_id
neo4j_dict_data['statement_id'] = statement_id
else:
# 处理original_memory_id它可能是字符串或字典
try:
for key, value in resolved_memory.items():
if key == 'statement_id':
neo4j_dict_data['statement_id'] = value
if key == 'description':
neo4j_dict_data['description'] = value
except AttributeError:
neo4j_dict_data=[]
print(neo4j_dict_data)
print(update_databases)
if neo4j_dict_data!=[]:
await update_neo4j_data(neo4j_dict_data, update_databases)
success_count += 1
print(ori_entity)
print(updata_entity)
print(100*'-')
print(ori_edge)
print(updata_edge)
expired_at_ = updat_expired_at.get('expired_at', None)
if expired_at_ is not None:
await update_neo4j_data(ori_expired_at, updat_expired_at)
success_count += 1
if ori_entity != updata_entity:
await update_neo4j_data(ori_entity, updata_entity)
success_count += 1
if ori_edge != updata_edge:
await update_neo4j_data_edge(ori_edge, updata_edge)
success_count += 1
return success_count

View File

@@ -39,8 +39,11 @@ class BaseDataSchema(BaseModel):
entity1_name: str = Field(..., description="The first entity name.")
entity2_name: Optional[str] = Field(None, description="The second entity name.")
statement_id: str = Field(..., description="The statement identifier.")
relationship_type: str = Field(..., description="The relationship type.")
relationship: Optional[Dict[str, Any]] = Field(None, description="The relationship object.")
# 新增字段 - 设为可选以保持向后兼容性
predicate: Optional[str] = Field(None, description="The predicate describing the relationship between entities.")
relationship_statement_id: Optional[str] = Field(None, description="The relationship statement identifier.")
# 保留原有字段 - 修改relationship字段类型以支持字符串和字典
relationship: Optional[Union[str, Dict[str, Any]]] = Field(None, description="The relationship object or string.")
entity2: Optional[Dict[str, Any]] = Field(None, description="The second entity object.")
@@ -94,8 +97,17 @@ class ReflexionSchema(BaseModel):
class ChangeRecordSchema(BaseModel):
"""Schema for individual change records"""
field: List[Dict[str, str]] = Field(..., description="List of field changes, each containing field name and new value.")
"""Schema for individual change records
字段值格式说明:
- id 和 statement_id: 字符串或 None
- 其他字段: 可以是字符串、None数组 [修改前的值, 修改后的值],或嵌套字典结构
- entity2等嵌套对象的字段也遵循 [old_value, new_value] 格式
"""
field: List[Dict[str, Any]] = Field(
...,
description="List of field changes. First item: {id: value or None}, second: {statement_id: value}, followed by changed fields as {field_name: [old_value, new_value]} or {field_name: new_value} or nested structures like {entity2: {field_name: [old, new]}}"
)
class ResolvedSchema(BaseModel):
"""Schema for the resolved memory data in the reflexion_data"""