Determine what data is needed and set up an environment containing all the test data required to capture realistic example objects. This environment will be used to run get() methods and capture their output.

Steps:
1. Identify all models that represent distinct objects in the system
2. Document required fields and relationships for each model
3. Map out data dependencies (e.g., invoice requires client, service requires package)
4. Create test data that covers all identified models and relationships

Requirements:

• Populate database with representative sample data across all models
• Include varied scenarios (active/cancelled services, paid/unpaid invoices, etc.)
• Ensure related data is properly linked (clients with services, invoices with line items, etc.)
• Cover edge cases and optional fields where applicable

Acceptance Criteria:

• Complete list of models needing example data documented
• Data dependencies mapped out
• Environment contains data for all identified models
• Data relationships are complete and realistic
• Varied states and scenarios are represented
• Environment can be used repeatedly for runtime capture