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def export_venue_changes(filters, user_id): # 1. Fetch data based on user filters data = db.query(VenueLogs).filter(filters).all() # 2. Generate file (e.g., using Pandas or ExcelJS) file_path = generate_xlsx(data) # 3. Provide download link return upload_to_s3_and_get_link(file_path) Use code with caution. Copied to clipboard 3. API Endpoints GET /api/v1/venues/changes : Preview the list of changes.
Allow users to filter changes by date, venue category, or specific location. Format Options: Support CSV, XLSX, and PDF exports. def export_venue_changes(filters, user_id): # 1
Use a toast or email notification when the file is ready. 📋 Data Export Structure (Example) Venue Name Change Date Original Type Updated Type Modified By Central Park 2024-05-12 Recreational Protected Zone Admin_User_01 2024-05-14 Industrial Residential Planning_Dept Allow users to filter changes by date, venue
I can provide specific code snippets or architectural diagrams once I know your environment! 2. Backend Logic (Pseudo-code)
Ensure historical "Previous Type" and "New Type" are captured accurately.
Use a clear "Download Report" icon next to the search bar. Date Range Picker: Essential for narrowing down audit logs.
Ensure your logs table captures the essential transformation data: venue_id : Reference to the location. old_type_id : The category before the change. new_type_id : The category after the change. changed_by : User ID of the editor. timestamp : When the change occurred. 2. Backend Logic (Pseudo-code)