enhanced documentation

app_matching_page.py

@@ -12,21 +12,15 @@ import pickle
 from sentence_transformers import SentenceTransformer
 from modules.multimatch_result_table import show_multi_table
 from modules.singlematch_result_table import show_single_table
-from functions.multi_project_matching import filter_multi
+from functions.filter_multi_project_matching import filter_multi
 from functions.filter_single_project_matching import filter_single
 from functions.multi_project_matching import calc_multi_matches
 from functions.same_country_filter import same_country_filter
 from functions.single_project_matching import find_similar
 import gc
 
-"""
-def get_process_memory():
-    process = psutil.Process(os.getpid())
-    return process.memory_info().rss / (1024 * 1024) 
-"""
 
 # Catch DATA
-
 # Load Similarity matrix
 @st.cache_data
 def load_sim_matrix():

functions/filter_multi_project_matching.py

@@ -1,12 +1,16 @@
 import pandas as pd
 from functions.semantic_search import search
 
+"""
+Filter for the multi project matching
+"""
+
 def contains_code(crs_codes, code_list):
     codes = str(crs_codes).split(';')
     return any(code in code_list for code in codes)
 
 def filter_multi(df, crs3_list, crs5_list, sdg_str, country_code_list, orga_code_list, query, model, embeddings, TOP_X_PROJECTS=30):
-    # Check if filters where not all should be selected are empty
+    # Check if filters where not all can be selected are empty
     if crs3_list != [] or crs5_list != [] or sdg_str != "" or query != "":
 
         # FILTER CRS