Implement a Paginated Medical-Record Filter Without Guessing an Ambiguous Rule

The Scenario

You are building a backend service to retrieve patient medical records. You receive a request to filter records by 'Hypertension' status, defined as patients having a recorded systolic blood pressure over 140 mmHg. However, the requirement document is contradictory: it states 'greater than 140' in the text but shows a sample '140 included' in the appendix.

Your Task

1. State your assumption regarding the 140 mmHg boundary.
2. Implement a function get_hypertension_records(records, page, page_size).

Input Data

records is a list of dictionaries:

{
    'id': int, 
    'systolic_bp': int, 
    'patient_dob': 'YYYY-MM-DD' 
}

Requirements

• Logic: Filter records where systolic_bp matches your clarified boundary.
• Pagination: Return a subset of records based on the current page (1-indexed) and page size.
• Ordering: To ensure reproducibility, records must be sorted by id (ascending) before pagination.
• Error Handling: If a record has a null systolic_bp or malformed patient_dob, skip the record and log it (simulated by adding to an internal errors list).
• Output: Return a dictionary containing the paginated list, the total count of matching records, and the current page number.

Example

records = [
    {'id': 101, 'systolic_bp': 145, 'patient_dob': '1980-05-20'},
    {'id': 102, 'systolic_bp': 140, 'patient_dob': '1990-01-01'},
    {'id': 103, 'systolic_bp': 130, 'patient_dob': '1975-12-12'}
]
# Assuming 140 is included:
# get_hypertension_records(records, 1, 2) -> {'data': [101, 102], 'total': 2, 'page': 1}