Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import random
+from datetime import datetime, timedelta
+
+st.set_page_config(layout="wide")
+
+
+# Helper function to generate a random date within the last year
+def random_date():
+    start_date = datetime.now() - timedelta(days=365)
+    random_days = random.randint(0, 365)
+    return (start_date + timedelta(days=random_days)).strftime("%Y-%m-%d")
+
+# Function to load and cache the product catalog
+@st.cache_data
+def load_catalog():
+    # Generate approval attributes
+    cyber_approved = [random.choice([True, False]) for _ in range(50)]
+    accessibility_approved = [random.choice([True, False]) for _ in range(50)]
+    privacy_approved = [random.choice([True, False]) for _ in range(50)]
+
+    review_statuses = []
+    not_approved_reasons = []
+    for cyber, accessibility, privacy in zip(cyber_approved, accessibility_approved, privacy_approved):
+        if cyber and accessibility and privacy:  # All approvals are True
+            review_statuses.append("Approved")
+            not_approved_reasons.append(None)
+        elif not cyber and not accessibility and not privacy:  # All approvals are False
+            review_statuses.append("Not Approved")
+            not_approved_reasons.append(random.choice(["Security Concern", "Licensing Issue", "Privacy Issue", "Compliance Requirement"]))
+        else:  # Mixed approvals
+            review_statuses.append("Under Review")
+            not_approved_reasons.append(None)
+            
+    products = {
+    "Product Name": [
+        "Notepad++", "WinRAR", "7-Zip", "CCleaner", "TeamViewer",
+        "FileZilla", "PuTTY", "WinSCP", "Everything", "Greenshot",
+        "Visual Studio Code", "JetBrains IntelliJ IDEA", "Sublime Text", "Atom", "Eclipse",
+        "PyCharm", "NetBeans", "Xcode", "Android Studio", "GitLab",
+        "Norton Antivirus", "McAfee Total Protection", "Kaspersky Internet Security", "Bitdefender Antivirus Plus", "Avast Free Antivirus",
+        "Sophos Home", "Trend Micro Antivirus+", "ESET NOD32 Antivirus", "F-Secure SAFE", "Malwarebytes",
+        "Microsoft Office 365", "Google Workspace", "Slack", "Trello", "Asana",
+        "Zoom", "Evernote", "Notion", "Dropbox", "Adobe Acrobat Reader",
+        "Adobe Photoshop", "Adobe Illustrator", "Adobe Premiere Pro", "Final Cut Pro", "Sketch",
+        "Blender", "Autodesk Maya", "CorelDRAW", "GIMP", "Inkscape"
+    ],
+    "Category": [
+        "Utility Tools", "Utility Tools", "Utility Tools", "Utility Tools", "Utility Tools",
+        "Utility Tools", "Utility Tools", "Utility Tools", "Utility Tools", "Utility Tools",
+        "Development Tools", "Development Tools", "Development Tools", "Development Tools", "Development Tools",
+        "Development Tools", "Development Tools", "Development Tools", "Development Tools", "Development Tools",
+        "Security Software", "Security Software", "Security Software", "Security Software", "Security Software",
+        "Security Software", "Security Software", "Security Software", "Security Software", "Security Software",
+        "Productivity Software", "Productivity Software", "Productivity Software", "Productivity Software", "Productivity Software",
+        "Productivity Software", "Productivity Software", "Productivity Software", "Productivity Software", "Productivity Software",
+        "Creative Software", "Creative Software", "Creative Software", "Creative Software", "Creative Software",
+        "Creative Software", "Creative Software", "Creative Software", "Creative Software", "Creative Software"
+    ],
+        "Cyber Approved": cyber_approved,
+        "Accessibility Approved": accessibility_approved,
+        "Privacy Approved": privacy_approved,
+        "Review Date": [random_date() for _ in range(50)],
+        "Review Status": review_statuses,
+        "Not Approved Reason": not_approved_reasons
+}
+    return pd.DataFrame(products)
+
+# Function to filter the catalog based on multiple attributes with AND logic
+@st.cache_data
+def filter_catalog(catalog, search_query=None, selected_category=None, cyber_approved=None, accessibility_approved=None, privacy_approved=None,review_status=None):
+    filtered = catalog
+    if search_query:
+        filtered = filtered[filtered.apply(lambda row: search_query.lower() in str(row).lower(), axis=1)]
+    if selected_category and selected_category != 'All':
+        filtered = filtered[filtered["Category"] == selected_category]
+    if cyber_approved:
+        filtered = filtered[filtered["Cyber Approved"] == True]
+    if accessibility_approved:
+        filtered = filtered[filtered["Accessibility Approved"] == True]
+    if privacy_approved:
+        filtered = filtered[filtered["Privacy Approved"] == True]
+    if review_status and review_status != 'All':
+        filtered = filtered[filtered["Review Status"] == review_status]
+    return filtered
+
+catalog = load_catalog()
+
+
+st.markdown("""
+<style>
+.custom-header {
+    font-size: 24px;
+    font-weight: bold;
+    color: #4f8bf9;
+    margin-bottom: 10px;
+}
+.custom-text {
+    font-size: 16px;
+    margin-bottom: 20px;
+}
+.custom-button {
+    margin: 5px;
+}
+.stButton>button {
+    border: 2px solid #4f8bf9;
+    border-radius: 20px;
+    color: #4f8bf9;
+}
+.status-true {
+    color: green;
+}
+.stDataFrame {
+    font-size: 14px;
+}
+</style>
+""", unsafe_allow_html=True)
+
+
+
+
+
+
+
+# Streamlit app layout
+st.markdown('<p class="custom-header">Enterprise Software Product Catalog</p>', unsafe_allow_html=True)
+st.markdown('<p class="custom-text">This is the source of truth for app approval statuses within the enterprise.</p>', unsafe_allow_html=True)
+
+
+
+# Sidebar for Advanced Search and Filtering
+with st.sidebar:
+    st.markdown('<p class="custom-header">Advanced Search Options</p>', unsafe_allow_html=True)
+    search_query = st.text_input("Search by Any Attribute", key='search_query')
+    selected_category = st.selectbox("Select Category", ['All'] + list(catalog["Category"].unique()), key='search_category')
+    cyber_approved = st.checkbox("Cyber Approved", key='cyber_approved')
+    accessibility_approved = st.checkbox("Accessibility Approved", key='accessibility_approved')
+    privacy_approved = st.checkbox("Privacy Approved", key='privacy_approved')
+    review_status_options = ['All', 'Approved', 'Under Review', 'Not Approved']
+    review_status = st.selectbox("Select Review Status", options=review_status_options, key='review_status')
+
+
+# Apply the enhanced filter based on user input
+filtered_catalog = filter_catalog(catalog, search_query, selected_category, cyber_approved, accessibility_approved, privacy_approved, review_status)
+
+
+
+# Display the filtered product catalog
+st.markdown('<p class="custom-header">Product Catalog</p>', unsafe_allow_html=True)
+st.dataframe(filtered_catalog.style.applymap(lambda x: "background-color: #ffffff"))
+
+for index, row in filtered_catalog.iterrows():
+    with st.expander(f"{row['Product Name']}"):
+        st.markdown(f"""
+            <div>
+                <p><b>Category:</b> {row['Category']}</p>
+                <p><b>Cyber Approved:</b> <span class='{"status-true" if row["Cyber Approved"] else ""}'>{'Yes' if row['Cyber Approved'] else 'No'}</span></p>
+                <p><b>Accessibility Approved:</b> <span class='{"status-true" if row["Accessibility Approved"] else ""}'>{'Yes' if row['Accessibility Approved'] else 'No'}</span></p>
+                <p><b>Privacy Approved:</b> <span class='{"status-true" if row["Privacy Approved"] else ""}'>{'Yes' if row['Privacy Approved'] else 'No'}</span></p>
+                <p><b>Review Date:</b> {row['Review Date']}</p>
+                <p><b>Review Status:</b> {row['Review Status']}</p>
+                {'<p><b>Not Approved Reason:</b> '+row['Not Approved Reason']+'</p>' if row['Review Status'] == 'Not Approved' else ''}
+            </div>
+        """, unsafe_allow_html=True)
+