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# System Packages
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from enum import Enum
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from dataclasses import dataclass
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from pathlib import Path
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# Internal Packages
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from src.utils.helpers import get_from_dict
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from src.utils.rawconfig import TextSearchConfigTest, ImageSearchConfigTest, ProcessorConversationConfig
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class SearchType(str, Enum):
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Notes = "notes"
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Ledger = "ledger"
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Music = "music"
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Image = "image"
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class TextSearchModel():
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def __init__(self, entries, corpus_embeddings, bi_encoder, cross_encoder, top_k, verbose):
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self.entries = entries
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self.corpus_embeddings = corpus_embeddings
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self.bi_encoder = bi_encoder
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self.cross_encoder = cross_encoder
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self.top_k = top_k
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self.verbose = verbose
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class ImageSearchModel():
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def __init__(self, image_names, image_embeddings, image_metadata_embeddings, image_encoder, verbose):
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self.image_encoder = image_encoder
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self.image_names = image_names
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self.image_embeddings = image_embeddings
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self.image_metadata_embeddings = image_metadata_embeddings
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self.image_encoder = image_encoder
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self.verbose = verbose
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@dataclass
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class SearchModels():
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notes_search: TextSearchModel = None
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ledger_search: TextSearchModel = None
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music_search: TextSearchModel = None
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image_search: ImageSearchModel = None
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class TextSearchConfig():
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def __init__(self, text_search_config: TextSearchConfigTest, verbose: bool):
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self.input_files = text_search_config.input_files
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self.input_filter = text_search_config.input_filter
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self.compressed_jsonl = Path(text_search_config.compressed_jsonl)
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self.embeddings_file = Path(text_search_config.embeddings_file)
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self.verbose = verbose
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class ImageSearchConfig():
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def __init__(self, image_search_config: ImageSearchConfigTest, verbose):
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self.input_directory = Path(image_search_config.input_directory)
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self.embeddings_file = Path(image_search_config.embeddings_file)
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self.batch_size = image_search_config.batch_size
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self.use_xmp_metadata = image_search_config.use_xmp_metadata
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self.verbose = verbose
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@dataclass
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class SearchConfig():
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notes: TextSearchConfig = None
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ledger: TextSearchConfig = None
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music: TextSearchConfig = None
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image: ImageSearchConfig = None
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class ConversationProcessorConfig():
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def __init__(self, processor_config: ProcessorConversationConfig, verbose: bool):
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self.openai_api_key = processor_config.open_api_key
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self.conversation_logfile = Path(processor_config.conversation_logfile)
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self.conversation_history = Path(processor_config.conversation_history)
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self.verbose = verbose
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@dataclass
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class ProcessorConfig():
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conversation: ConversationProcessorConfig = None
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