remove obsolete emoji csv output and sort shapefile based on weights

instead of first column

tagmaps/classes/compile_output.py

@@ -4,6 +4,7 @@
 Module for compiling TagMaps results and writing output
 """
 
+import sys
 import fiona
 from fiona.crs import from_epsg
 import shapely.geometry as geometry
@@ -44,11 +45,8 @@ def _compile_merge_shapes(cls, shapes_and_meta_list,
                               epsg_code):
         all_itemized_shapes = list()
         all_non_itemized_shapes = list()
-        contains_emoji_output = False
         for shapes, cls_type, itemized in shapes_and_meta_list:
             if itemized:
-                if cls_type == EMOJI:
-                    contains_emoji_output = True
                 # normalize types separately (e.g. emoji/tags)
                 global_weights = cls._get_weights(shapes, [6, 7, 8])
                 itemized_shapes = cls._getcompile_itemized_shapes(
@@ -64,11 +62,11 @@ def _compile_merge_shapes(cls, shapes_and_meta_list,
         if all_itemized_shapes:
             cls._write_all(
                 all_itemized_shapes, True,
-                contains_emoji_output, epsg_code)
+                epsg_code)
         if all_non_itemized_shapes:
             cls._write_all(
                 all_non_itemized_shapes, False,
-                contains_emoji_output, epsg_code)
+                epsg_code)
 
     @staticmethod
     def _get_shape_schema(itemized):
@@ -130,48 +128,26 @@ def _getcompile_nonitemized_shapes(
 
     @classmethod
     def _write_all(cls, shapes, itemized,
-                   contains_emoji_output, epsg_code):
+                   epsg_code):
         schema = cls._get_shape_schema(itemized)
         # update for emoji only run
         if itemized:
             shapefile_name = "allTagCluster"
-            # sort shapelist by firstg column,
+            # sort shapelist by column,
             # in descending order
             # we want most important tags places first
-            shapes.sort(key=itemgetter(1), reverse=True)
+            # column 7 = weights1
+            shapes.sort(key=itemgetter(7), reverse=True)
         else:
             shapefile_name = "allLocationCluster"
             # sort ascending, we want smalles clusters places
             # first as small points, overlayed by larger ones
-            shapes.sort(key=itemgetter(1))
+            # column 1 = weights1
+            shapes.sort(key=itemgetter(2))
         with fiona.open(
                 f'02_Output/{shapefile_name}.shp', mode='w',
                 encoding='UTF-8', driver='ESRI Shapefile',
                 schema=schema, crs=from_epsg(epsg_code)) as shapefile:
-            cls._attach_emojitable_handler(
-                shapefile,
-                shapes,
-                contains_emoji_output,
-                itemized)
-
-    @classmethod
-    def _attach_emojitable_handler(cls, shapefile,
-                                   shapes,
-                                   contains_emoji_output,
-                                   itemized):
-        """If Emoji Output present, open csv for writing
-        Note: refactor as optional property!
-        """
-        if contains_emoji_output:
-            with open("02_Output/emojiTable.csv",
-                      "w", encoding='utf-8') as emoji_table:
-                emoji_table.write("FID,Emoji\n")
-                if itemized:
-                    cls._write_all_shapes(
-                        shapefile, shapes,
-                        emoji_table, itemized)
-
-        else:
             cls._write_all_shapes(
                 shapefile, shapes, None, itemized)
 
@@ -247,6 +223,8 @@ def _getcompile_itemized_shapes(
         shapelist = list()
         for alphashape_and_meta in shapes:
             h_imp = cls._get_himp(idx, shapes)
+            # if h_imp == 1 and cls_type == EMOJI:
+            #     input(f'{shapes[idx]}\n{shapes[idx-1]}')
             idx += 1
             item_shape = cls._getcompile_item_shape(
                 alphashape_and_meta,
@@ -264,8 +242,12 @@ def _get_himp(idx, shapes):
         therefore a change means
         new item begins
         """
-        if (idx == 0 or
-                shapes[idx][4] != shapes[idx-1][4]):
+        if ((idx == 0
+             or shapes[idx][4] != shapes[idx-1][4])
+                and not shapes[idx][3] == 1):
+            # if previous item is different
+            # to current item and
+            # usercount is not 1
             h_imp = 1
         else:
             h_imp = 0