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)