Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import random
+from datetime import datetime
+
+# 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")
+
+# Cache the function that loads the product catalog
+@st.cache
+    
+# Define the products and their categories
+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": [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 Date": [random_date() for _ in range(50)]
+}
+
+# Example of caching a complex filtering operation
+@st.cache
+def filter_catalog(catalog, category=None, search_query=None):
+    filtered = catalog
+    if category:
+        filtered = filtered[filtered["Category"].isin(category)]
+    if search_query:
+        filtered = filtered[filtered["Product Name"].str.contains(search_query, case=False)]
+    return filtered
+
+
+
+# Create the DataFrame
+catalog = pd.DataFrame(products)
+
+# Apply filters based on user input
+category = st.sidebar.multiselect("Filter by Category", options=catalog["Category"].unique())
+search_query = st.sidebar.text_input("Search Products")
+
+filtered_catalog = filter_catalog(catalog, category, search_query)
+
+
+
+# Display the DataFrame for verification
+print(catalog)
+
+
+
+
+# Streamlit app layout
+st.title("Enterprise Software Product Catalog")
+st.write("This is the source of truth for app approval statuses within the enterprise.")
+
+# Sidebar for filters
+category = st.sidebar.multiselect("Filter by Category", options=catalog["Category"].unique())
+cyber_approved = st.sidebar.checkbox("Cyber Approved")
+accessibility_approved = st.sidebar.checkbox("Accessibility Approved")
+privacy_approved = st.sidebar.checkbox("Privacy Approved")
+
+
+# Filtering logic
+filtered_catalog = catalog
+if category:
+    filtered_catalog = filtered_catalog[filtered_catalog["Category"].isin(category)]
+if cyber_approved:
+    filtered_catalog = filtered_catalog[filtered_catalog["Cyber Approved"] == True]
+if accessibility_approved:
+    filtered_catalog = filtered_catalog[filtered_catalog["Accessibility Approved"] == True]
+if privacy_approved:
+    filtered_catalog = filtered_catalog[filtered_catalog["Privacy Approved"] == True]
+
+
+
+# Display the filtered product catalog
+st.dataframe(filtered_catalog)
+
+