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- Implement BaseComponent with async lifecycle and context management - Add ApplicationContext for managing component initialization and registry - Create Application class for orchestrating job execution and lifecycle - Add AS LLM components with OpenAI chat model wrapper - Implement AS LLM formatter components with OpenAI formatter - Add client implementations including base, HTTP and ReMe clients - Create embedding model base class with caching and batching support - Implement file store base class with vector and full-text search - Add file watcher components for monitoring file system changes - Create job components for executing workflows - Implement service components for exposing jobs via different protocols - Add configuration schema with ApplicationConfig and ComponentConfig - Include utility modules for case conversion, chunking, logging and similarity - Register component types and create component registry system
33 lines
733 B
Python
33 lines
733 B
Python
"""Component enumeration module.
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Defines the types of components that can be registered and used in the application.
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"""
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from enum import Enum
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class ComponentEnum(str, Enum):
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"""Enumeration of component types for dependency injection and registration.
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This enum defines the various component categories that can be registered
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in the application's component container. Each component type represents
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a specific role or functionality within the system.
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"""
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BASE = "base"
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AS_LLM = "as_llm"
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AS_LLM_FORMATTER = "as_llm_formatter"
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EMBEDDING_MODEL = "embedding_model"
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FILE_STORE = "file_store"
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FILE_WATCHER = "file_watcher"
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SERVICE = "service"
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STEP = "step"
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JOB = "job"
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