Rename RawConfig Types for Consistency

- Naming convention - [ContentType][ConfigType]Config
  - Where [ConfigType] ~ Content, Search, Processor
  - Where [ContentType] ~ Text, Image, Asymmetric, Symmetric, Conversation

- Current Configs:
  - Content:
    - Org Notes
    - Org Music
    - Image
    - Ledger/Beancount

  - Search:
     - Asymmetric
     - Symmetric
     - Image

  - Processor:
    - Conversation

src/search_type/asymmetric.py

@@ -15,10 +15,10 @@ from sentence_transformers import SentenceTransformer, CrossEncoder, util
 from src.utils.helpers import get_absolute_path, resolve_absolute_path, load_model
 from src.processor.org_mode.org_to_jsonl import org_to_jsonl
 from src.utils.config import TextSearchModel
-from src.utils.rawconfig import AsymmetricConfig, TextSearchConfig
+from src.utils.rawconfig import AsymmetricSearchConfig, TextContentConfig
 
 
-def initialize_model(search_config: AsymmetricConfig):
+def initialize_model(search_config: AsymmetricSearchConfig):
     "Initialize model for assymetric semantic search. That is, where query smaller than results"
     torch.set_num_threads(4)
 
@@ -162,7 +162,7 @@ def collate_results(hits, entries, count=5):
         in hits[0:count]]
 
 
-def setup(config: TextSearchConfig, search_config: AsymmetricConfig, regenerate: bool, verbose: bool=False) -> TextSearchModel:
+def setup(config: TextContentConfig, search_config: AsymmetricSearchConfig, regenerate: bool, verbose: bool=False) -> TextSearchModel:
     # Initialize Model
     bi_encoder, cross_encoder, top_k = initialize_model(search_config)
 

src/search_type/image_search.py

@@ -13,10 +13,10 @@ import torch
 from src.utils.helpers import resolve_absolute_path, load_model
 import src.utils.exiftool as exiftool
 from src.utils.config import ImageSearchModel
-from src.utils.rawconfig import ImageSearchConfig, ImageSearchTypeConfig
+from src.utils.rawconfig import ImageContentConfig, ImageSearchConfig
 
 
-def initialize_model(search_config: ImageSearchTypeConfig):
+def initialize_model(search_config: ImageSearchConfig):
     # Initialize Model
     torch.set_num_threads(4)
 
@@ -160,7 +160,7 @@ def collate_results(hits, image_names, image_directory, count=5):
         in hits[0:count]]
 
 
-def setup(config: ImageSearchConfig, search_config: ImageSearchTypeConfig, regenerate: bool, verbose: bool=False) -> ImageSearchModel:
+def setup(config: ImageContentConfig, search_config: ImageSearchConfig, regenerate: bool, verbose: bool=False) -> ImageSearchModel:
     # Initialize Model
     encoder = initialize_model(search_config)
 

src/search_type/symmetric_ledger.py

@@ -13,10 +13,10 @@ from sentence_transformers import SentenceTransformer, CrossEncoder, util
 from src.utils.helpers import get_absolute_path, resolve_absolute_path, load_model
 from src.processor.ledger.beancount_to_jsonl import beancount_to_jsonl
 from src.utils.config import TextSearchModel
-from src.utils.rawconfig import SymmetricConfig, TextSearchConfig
+from src.utils.rawconfig import SymmetricSearchConfig, TextContentConfig
 
 
-def initialize_model(search_config: SymmetricConfig):
+def initialize_model(search_config: SymmetricSearchConfig):
     "Initialize model for symmetric semantic search. That is, where query of similar size to results"
     torch.set_num_threads(4)
 
@@ -154,7 +154,7 @@ def collate_results(hits, entries, count=5):
         in hits[0:count]]
 
 
-def setup(config: TextSearchConfig, search_config: SymmetricConfig, regenerate: bool, verbose: bool) -> TextSearchModel:
+def setup(config: TextContentConfig, search_config: SymmetricSearchConfig, regenerate: bool, verbose: bool) -> TextSearchModel:
     # Initialize Model
     bi_encoder, cross_encoder, top_k = initialize_model(search_config)