khoj/src/utils/config.py

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