Data Transformation and Output Generation

[Oddonline]

Data Transformation Implementation

Overview

Implement the data transformation pipeline from XML to CSV and JSON, with support for differential updates.

Requirements

XML Processing

• Port existing XML processing code
• Add validation and error handling
• Implement entity extraction
• Support incremental processing

Data Transformation

• CSV generation
• JSON generation
• Support for differential updates
• Data validation

Output Generation

• Complete dataset generation
• Differential update files
• Change logs
• Validation reports

Entity Types

1. Lines
2. Routes
3. Route Points
4. Journey Patterns
5. Stop Sequences
6. Service Journeys
7. Passing Times
8. Dated Journeys

File Structure

/data
  /current
    - lines.json
    - routes.json
    - ...
  /delta
    /{timestamp}
      - changes.json
      - added_entities.json
      - modified_entities.json
      - deleted_entities.json
  /archive
    /{timestamp}
      - complete dataset

Validation Rules

• All required fields must be present
• Data type validation
• Relationship integrity
• Format validation

Notes

• Must maintain data consistency
• Need efficient processing for large datasets
• Should support partial updates
• Must include data validation