0bbf68d5bb
- 新增 AgentSchedule 模型、CRUD API、调度服务 - 集成 Celery Beat 每分钟检查到期任务并自动触发执行 - 支持手动触发、cron 表达式解析、执行状态跟踪 - 依赖: croniter (cron 表达式解析) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
21 lines
1.4 KiB
Python
21 lines
1.4 KiB
Python
# Models package
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from app.models.user import User
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from app.models.workflow import Workflow
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from app.models.workflow_version import WorkflowVersion
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from app.models.agent import Agent
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from app.models.execution import Execution
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from app.models.execution_log import ExecutionLog
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from app.models.model_config import ModelConfig
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from app.models.data_source import DataSource
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from app.models.workflow_template import WorkflowTemplate, TemplateRating, TemplateFavorite
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from app.models.node_template import NodeTemplate
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from app.models.permission import Role, Permission, WorkflowPermission, AgentPermission
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from app.models.alert_rule import AlertRule, AlertLog
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from app.models.persistent_user_memory import PersistentUserMemory
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from app.models.agent_llm_log import AgentLLMLog
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from app.models.agent_vector_memory import AgentVectorMemory
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from app.models.agent_learning_pattern import AgentLearningPattern
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from app.models.agent_schedule import AgentSchedule
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from app.models.knowledge_base import KnowledgeBase, Document, DocumentChunk
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__all__ = ["User", "Workflow", "WorkflowVersion", "Agent", "Execution", "ExecutionLog", "ModelConfig", "DataSource", "WorkflowTemplate", "TemplateRating", "TemplateFavorite", "NodeTemplate", "Role", "Permission", "WorkflowPermission", "AgentPermission", "AlertRule", "AlertLog", "PersistentUserMemory", "AgentLLMLog", "AgentVectorMemory", "AgentLearningPattern", "AgentSchedule", "KnowledgeBase", "Document", "DocumentChunk"] |