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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.

Show "Processing..." for large files to manage user expectations. def export_venue_changes(filters, user_id): # 1

What are you using? (e.g., React/Node.js, Python/Django, PHP/Laravel) could you tell me:

Handle large datasets using background processing (queues). 🏗️ Technical Implementation 1. Database Schema def export_venue_changes(filters, user_id): # 1

Ensure historical "Previous Type" and "New Type" are captured accurately.

To help me refine this feature for your specific system, could you tell me: