Skuid templates were changed on a demo. Williams-Sonoma improvements. Script was updated slightly.
This commit is contained in:
@ -92,6 +92,9 @@
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{% endif%}
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{% endfor %}
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{{ school.custom_properties.banner_text}}
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<if></if>
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{% if view_more_counter >= 4%}
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<button class="np-top-button np-button-font-color np-button np-button-big view-more-button" onclick="viewMore()">View More</button>
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{% endif %}
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@ -296,11 +299,11 @@
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margin: auto;
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}
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[data-controls="prev"] {
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[data-controls="prev"] {
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margin-left: -3%;
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}
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[data-controls="next"] {
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[data-controls="next"] {
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margin-right: -3%;
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}
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@ -389,7 +392,7 @@
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@media (min-width: 1025px) and (max-width: 2500px) {
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.recent-view-header {
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padding-top: 1%;
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}
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}
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@ -481,4 +484,4 @@
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.np-card-text-wrapper {
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display: flex;
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}
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</style>
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</style>
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@ -8,7 +8,6 @@
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/* 4.3 Overview */
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/* 4.4 Dashboard filter */
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/* 5. Course */
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/* 1. Global */
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@media (min-width: 769px) and (max-width: 1600px) {
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@ -1022,4 +1021,4 @@ footer {
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.np-top-cta-progress-content{
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margin-bottom: 0.5rem;
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}
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}
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}
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@ -2,6 +2,7 @@
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{% assign new_hire_progress = 0 %}
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{% assign day_offset_in_seconds = 864000 %}
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{% assign zoom_url = "NULL" %}
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{% assign in_center_group = false %}
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{% for learning_path in learning_paths.enrolled %}
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{% for category in learning_path.categories %}
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@ -26,6 +27,15 @@
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{% endfor %}
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{% endif %}
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{% for group in current_person.groups %}
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{% if group.name contains " IC " %}
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{% assign in_center_group = true %}
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{% else %}
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{% assign in_center_group = false %}
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{% endif %}
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{% endfor %}
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{% include "header" %}
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<main class="np-main np-homepage">
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<div class="np-homepage-hero">
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@ -45,7 +55,7 @@
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{% include "new_hire_homepage"
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, zoom_url: zoom_url %}
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{% else %}
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{% if is_enrolled_in_new_hire_lp == true %}
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{% if is_enrolled_in_new_hire_lp == true or in_center_group == true %}
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{% if new_hire_progress == 100 %}
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<script>
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console.log("User new hire progress is 100")
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@ -75,7 +85,7 @@
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{% endif %}
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{% endif %} {% endcomment %}
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{% else %}
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{% if new_hire_progress > 0 %}
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{% if new_hire_progress > 0 or in_center_group == true %}
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<script>
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window.location.replace("/app/dashboard")
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</script>
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@ -1,7 +1,8 @@
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import re
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from html.parser import HTMLParser
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from pathlib import Path
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import pandas as pd
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# import pandas as pd
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from bs4 import BeautifulSoup
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# MASDICT = {'file': "", 'attributes' : { 'id': [], 'class': [] } }
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MASLIST = []
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@ -11,38 +12,50 @@ x = list(p.glob('**/*.html.liquid'))
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for posfile in x:
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file = str(posfile)
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htmlfile = open(file, 'r', encoding='utf-8')
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finfile = file.split('/')[-1]
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code = htmlfile.readlines()
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ids = []
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classes = []
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file2 = open(file, 'r', encoding='utf-8')
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# finfile = file.split('/')[-1]
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code = file2.readlines()
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inclst = [include for include in code if '{% include' in include]
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print(inclst)
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for lines in code:
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if "class=" in lines:
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tmpline = lines
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if "id=" not in tmpline:
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try:
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htmlclass = re.search('class="(.*)"', tmpline)
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classes.append(htmlclass.group(1))
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except AttributeError as t:
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print("Class: ", t)
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pass
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finally:
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pass
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elif "id=" in lines:
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try:
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id = re.search('id="(.*)"', lines)
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ids.append(id.group(1))
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except AttributeError as t:
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print("ID: ", t)
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pass
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finally:
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pass
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else:
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if '{% include' in lines:
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pass
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seconddict = { 'file': finfile, 'attributes': { 'id' : ids, 'class': classes } }
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MASLIST.append(seconddict)
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df = pd.json_normalize(MASLIST)
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print(df)
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soup = BeautifulSoup(htmlfile, 'html.parser')
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clst = [node['class'] for node in soup.find_all() if node.has_attr('class')]
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# print(clst)
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ilst = [node['id'] for node in soup.find_all() if node.has_attr('id')]
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# print(ilst)
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# ids = []
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# classes = []
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# if "class=" in lines:
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# tmpline = lines
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# if "id=" not in tmpline:
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# try:
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# htmlclass = re.search('class="(.*)"', tmpline)
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# classes.append(htmlclass.group(1))
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# except AttributeError as t:
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# print("Class: ", t)
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# pass
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# finally:
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# pass
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# elif "id=" in lines:
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# try:
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# id = re.search('id="(.*)"', lines)
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# ids.append(id.group(1))
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# except AttributeError as t:
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# print("ID: ", t)
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# pass
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# finally:
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# pass
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# else:
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# pass
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# seconddict = { 'file': finfile, 'attributes': { 'id' : ids, 'class': classes } }
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# MASLIST.append(seconddict)
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#
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# df = pd.json_normalize(MASLIST)
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# print(df)
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# kp = (df.set_index('file').apply(lambda x: x.str.split(",").explode()).reset_index())
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# ksp = df.set_index('file').apply(lambda x: df['attributes.class']([x.split(',') ]))
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# print(ksp)
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