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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
20 lines
541 B
Python
20 lines
541 B
Python
"""Utility modules"""
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from .case_converter import camel_to_snake, snake_to_camel
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from .chunking_utils import chunk_markdown
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from .common_utils import hash_text, execute_stream_task
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from .logger_utils import get_logger
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from .similarity_utils import cosine_similarity, batch_cosine_similarity
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from .singleton import singleton
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__all__ = [
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"camel_to_snake",
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"snake_to_camel",
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"chunk_markdown",
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"hash_text",
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"execute_stream_task",
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"get_logger",
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"cosine_similarity",
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"batch_cosine_similarity",
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"singleton",
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]
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