refactor(Dockerfile): 使用requirements.txt替代硬编码依赖 将Dockerfile中的硬编码pip包列表替换为通过requirements.txt文件安装, 提高依赖管理的灵活性和可维护性。 feat(scheduling): 移除内置APScheduler,采用独立调度系统 移除app/core/background/scheduler.py中原来的APScheduler实现, 改为使用新的应用级调度系统app.application.scheduling。 refactor(task_queue): 调整任务队列模块结构和导入路径 将任务队列相关常量从app.core.background.task_queue.constants迁移至 app.tasks.constants,并更新所有相关导入路径和引用。 refactor(events): 将事件服务重构为独立的应用层组件 将事件分发逻辑从核心层迁移到应用层,使用app.application.events.EventDispatchService 替代原有的app.modules.events.services.EventService。 feat(ai_memory): 增强AI记忆自动写入的安全策略 新增ai_memory_blocked_content_terms配置项用于阻止敏感内容, 添加TTL过期机制控制自动写入条目的生命周期。 fix(security): 强化生产环境安全验证机制 增加model_validator确保生产环境中数据库连接、API密钥、CORS设置等 关键安全配置符合要求。 feat(risks): 优化风险事件操作动作的外键约束 为RiskEventAction模型的风险事件ID字段添加外键约束, 防止孤立记录并增强数据完整性。 refactor(audit): 优化审计服务方法命名和事务处理 将AuditService的log方法重命名为record以反映其阶段行为, 并调整事务提交时机以提高性能。 feat(events): 增强领域事件并发处理和响应模型 添加事件锁定机制防止重复处理,更新API响应模型以提供 更准确的数据类型定义。 ```
60 lines
1.2 KiB
Python
60 lines
1.2 KiB
Python
from enum import StrEnum
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class AIMemoryScope(StrEnum):
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GLOBAL = "global"
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PROJECT = "project"
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DEPARTMENT = "department"
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USER = "user"
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class AIMemoryStatus(StrEnum):
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ACTIVE = "active"
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ARCHIVED = "archived"
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REJECTED = "rejected"
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class AIMemorySource(StrEnum):
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AUTO = "auto"
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HERMES = "hermes"
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API = "api"
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USER_RULE = "user_rule"
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class AIMemoryResponseKey(StrEnum):
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ITEMS = "items"
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DATA = "data"
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TOTAL = "total"
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class AIMemoryPayloadKey(StrEnum):
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CODE = "code"
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SCOPE = "scope"
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SUBJECT = "subject"
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CONTENT = "content"
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SUMMARY = "summary"
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TAGS = "tags"
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SOURCE = "source"
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IMPORTANCE = "importance"
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STATUS = "status"
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QUERY = "query"
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LIMIT = "limit"
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COUNT = "count"
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REJECTED_REASON = "rejected_reason"
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class AIMemoryText(StrEnum):
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DEFAULT_SCOPE = "global"
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DEFAULT_SUBJECT = "company"
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AUTO_TAG = "auto"
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REJECTED_SECRET = "secret-like content rejected"
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REJECTED_SENSITIVE_FACT = "sensitive business fact rejected"
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AI_MEMORY_CODE_PREFIX = "MEM"
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AI_MEMORY_MAX_CONTENT_LENGTH = 2000
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AI_MEMORY_MAX_SUMMARY_LENGTH = 500
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AI_MEMORY_MIN_AUTO_WRITE_LENGTH = 12
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AI_USER_RULE_MAX_PRIORITY = 100
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AI_USER_RULE_MIN_PRIORITY = 1
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