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utils/cluster/mapping_cluster.py

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+from utils.cluster.clustering import *
+from utils.process.processing import *
+from utils.routing.distances import *
+
+
+def df_mapping(df_orderlines, orders_number, distance_threshold, mono_method, multi_method):
+    ''' Mapping Order lines Dataframe using clustering'''
+    # Filter mono and multi orders
+    df_mono, df_multi = process_lines(df_orderlines)
+    wave_start = 0
+    clust_start = 0
+
+    # Mapping for single line orders
+    if mono_method == 'clustering':		
+        df_type = 'df_mono' 	
+        dict_map, dict_omap, df_mono, waves_number, clust_idmax = clustering_mapping(df_mono, distance_threshold, 'custom', 
+            orders_number, wave_start, clust_start, df_type)
+    else: 
+        df_mono, waves_number = lines_mapping(df_mono, orders_number, 0)
+        clust_idmax = 0 
+        # => Wave_start
+    wave_start = waves_number
+    clust_start = clust_idmax 
+
+    # Mapping for multi line orders
+    if multi_method == 'clustering':
+        df_type = 'df_multi' 	
+        df_multi = centroid_mapping(df_multi)
+        dict_map, dict_omap, df_multi, waves_number, clust_idmax  = clustering_mapping(df_multi, distance_threshold, 'custom', 
+            orders_number, wave_start, clust_start, df_type)
+    else:
+        df_multi, waves_number = lines_mapping(df_multi, orders_number, wave_start)
+
+    # Final Concatenation
+    df_orderlines, waves_number = monomult_concat(df_mono, df_multi)
+
+    return df_orderlines, waves_number