Cleanup/Sanitize

[NicholasTurner23]

Just a bit of cleanup.

Summary by CodeRabbit

• New Features

  • Enhanced data validation process for device data, including checksum verification to ensure data integrity.
  • Improved error handling with better logging for data processing methods.

• Refactor

  • Updated method calls to use instances of utility classes, promoting better state management and object-oriented practices.

[coderabbitai]

📝 Walkthrough

Walkthrough

The changes in this pull request focus on enhancing the DataValidationUtils class and the airqo_devices_data function. Modifications include relocating the import statement for AirQoDataUtils, implementing checksum verification in the transform_devices method, and improving error handling in the process_data_for_api method. Additionally, the airqo_devices_data function now utilizes instances of AirQoApi and DataValidationUtils instead of calling methods statically, promoting a more object-oriented design.

Changes

File Path	Change Summary
src/workflows/airqo_etl_utils/data_validator.py	- Moved AirQoDataUtils import to transform_devices method. - Added checksum verification in transform_devices method. - Updated error handling in process_data_for_api to use logger.
src/workflows/dags/airqo_kafka_workflows.py	- Updated airqo_devices_data function to instantiate AirQoApi and DataValidationUtils before method calls.

Possibly related PRs

• Update fix/reduce redundant device data called[wip] #3526: This PR modifies the get_devices method in airqo_api.py, which is related to the transform_devices method in the main PR as both involve device data processing.
• Update/kafka implementations #3754: This PR introduces the transform_devices method in data_validator.py, which directly relates to the changes made in the main PR regarding the checksum verification process for device data.

Suggested reviewers

• Baalmart
• BenjaminSsempala
• Psalmz777

🎉 In the realm of code, changes unfold,
A checksum added, a story retold.
With classes now instanced, the flow is refined,
Error logs shining, no more left behind.
Data dances smoothly, in harmony they play,
Cheers to the updates, brightening the way! 🎊

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[coderabbitai]

Actionable comments posted: 0

🧹 Outside diff range and nitpick comments (1)

src/workflows/dags/airqo_kafka_workflows.py (1)

31-34: Consider implementing caching for device data.

Since the transform_devices method now includes checksum verification, consider implementing caching for the device data to optimize performance, especially when dealing with large device lists. This could be achieved using Airflow's built-in caching mechanisms or external caching solutions.

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

📥 Commits

Files that changed from the base of the PR and between 8322d12 and b27533d.

📒 Files selected for processing (2)

• src/workflows/airqo_etl_utils/data_validator.py (0 hunks)
• src/workflows/dags/airqo_kafka_workflows.py (1 hunks)

💤 Files with no reviewable changes (1)

• src/workflows/airqo_etl_utils/data_validator.py

🔇 Additional comments (2)

src/workflows/dags/airqo_kafka_workflows.py (2)

23-24: Good improvement in object-oriented design!

The instantiation of AirQoApi before calling get_devices() is a better practice than using static method calls, as it allows for proper encapsulation and state management.

---

31-32: Verify error handling for transform_devices.

The instantiation of DataValidationUtils is a good improvement. However, since the method now includes checksum verification, we should ensure proper error handling is in place.

Let's verify the error handling implementation: