From acb4e38d797de40f57a413fcd195f8a1867251da Mon Sep 17 00:00:00 2001
From: Norm Rasmussen <norman.rasmussen@me.com>
Date: Fri, 11 Oct 2024 16:50:08 -0400
Subject: [PATCH] Started a script to grab all class names from default
 templates.

---
 Scripts/all_default_class_names.py | 51 ++++++++++++++++++++++++++++++
 1 file changed, 51 insertions(+)
 create mode 100644 Scripts/all_default_class_names.py

diff --git a/Scripts/all_default_class_names.py b/Scripts/all_default_class_names.py
new file mode 100644
index 00000000..592161b1
--- /dev/null
+++ b/Scripts/all_default_class_names.py
@@ -0,0 +1,51 @@
+import re
+from html.parser import HTMLParser
+from pathlib import Path
+import pandas as pd
+
+# MASDICT = {'file': "", 'attributes' : { 'id': [], 'class': [] } }
+MASLIST = []
+PARS = HTMLParser
+p = Path('/Users/normrasmussen/Documents/Work/Custom_Templates/current_templates_2-15-2024/')
+x = list(p.glob('**/*.html.liquid'))
+for posfile in x:
+    file = str(posfile)
+    htmlfile = open(file, 'r', encoding='utf-8')
+    finfile = file.split('/')[-1]
+    code = htmlfile.readlines()
+    ids = []
+    classes = []
+    for lines in code:
+        if "class=" in lines:
+            tmpline = lines
+            if "id=" not in tmpline:
+                try:
+                    htmlclass = re.search('class="(.*)"', tmpline)
+                    classes.append(htmlclass.group(1))
+                except AttributeError as t:
+                    print("Class: ", t)
+                    pass
+                finally:
+                    pass
+        elif "id=" in lines:
+            try:
+                id = re.search('id="(.*)"', lines)
+                ids.append(id.group(1))
+            except AttributeError as t:
+                print("ID: ", t)
+                pass
+            finally:
+                pass
+        else:
+            pass
+    seconddict = { 'file': finfile, 'attributes': { 'id' : ids, 'class': classes } }
+    MASLIST.append(seconddict)
+
+df = pd.json_normalize(MASLIST)
+print(df)
+# kp = (df.set_index('file').apply(lambda x: x.str.split(",").explode()).reset_index())
+# ksp = df.set_index('file').apply(lambda x: df['attributes.class']([x.split(',') ]))
+# print(ksp)
+# kp2 = (df.set_index('file').apply(lambda x: x.str.split(" ").explode('attributes.class')).reset_index())
+# print(kp2)
+