Reuse logic to extract entries across symmetric, asymmetric search

Now that the logic to compile entries is in the processor layer, the
extract_entries method is standard across (text) search_types

Extract the load_jsonl method as a utility helper method.
Use it in (a)symmetric search types

src/utils/helpers.py

@@ -1,7 +1,12 @@
 # Standard Packages
+import json
+import gzip
 import pathlib
 from os.path import join
 
+# Internal Packages
+from src.utils.constants import empty_escape_sequences
+
 
 def is_none_or_empty(item):
     return item == None or (hasattr(item, '__iter__') and len(item) == 0)
@@ -52,4 +57,30 @@ def load_model(model_name, model_dir, model_type):
         if model_path is not None:
             model.save(model_path)
 
-    return model
+    return model
+
+
+def load_jsonl(input_path, verbose=0):
+    "Read List of JSON objects from JSON line file"
+    # Initialize Variables
+    data = []
+    jsonl_file = None
+
+    # Open JSONL file
+    if input_path.suffix == ".gz":
+        jsonl_file = gzip.open(get_absolute_path(input_path), 'rt', encoding='utf-8')
+    elif input_path.suffix == ".jsonl":
+        jsonl_file = open(get_absolute_path(input_path), 'r', encoding='utf-8')
+
+    # Read JSONL file
+    for line in jsonl_file:
+        data.append(json.loads(line.strip(empty_escape_sequences)))
+
+    # Close JSONL file
+    jsonl_file.close()
+
+    # Log JSONL entries loaded
+    if verbose > 0:
+        print(f'Loaded {len(data)} records from {input_path}')
+
+    return data