Refactor fix update/code clean up [WIP]

[NicholasTurner23]

WHAT DOES THIS PR DO?

• [ ] Code refactor and documentation
• [ ] Fix datetime formatting and data aggregation implementations

WHAT ISSUES ARE RELATED TO THIS PR?

• Jira cards
  • [] OPS-252
  • [] OPS-253

HOW DO I TEST OUT THIS PR?

• [ ] Analytics: Link to Analytics README
• [ ] Auth Service: Link to Auth Service README
• [ ] Calibrate: Link to Calibrate README
• [ ] Data Proxy: Link to Data Proxy README
• [ ] Device Monitoring: Link to Device Monitoring README
• [ ] Device Registry: Link to Device Registry README
• [ ] Device Status: Link to Device Status README
• [ ] Device Uptime: Link to Device Uptime README
• [ ] Exceedances: Link to Exceedances README
• [ ] Firebase: Link to Firebase README
• [ ] GP Model: Link to GP Model README
• [ ] Incentives: Link to Incentives README
• [ ] Kafka Connectors: Link to Kafka Connectors
• [ ] Locate: Link to Locate README
• [ ] Metadata: Link to Metadata README
• [ ] Predict: Link to Predict README
• [ ] Spatial: Link to Spatial
• [ ] View: Link to View README
• [ ] Workflows: Link to Workflows README

Summary by CodeRabbit

• New Features

  • Enhanced data fetching to handle exceptions, process data, and return results in a modified format.
  • Introduced new method to manage start and end date calculations with additional parameters for historical data, days, and hours.

• Bug Fixes

  • Improved error handling in data fetching and date utilities to ensure robustness and reliability.

[coderabbitai[bot]]

Walkthrough

## Walkthrough Recent updates to the code base include significant enhancements to the `BigQueryAPI` and `DateUtils` classes within the AirQo ETL utilities. The `fetch_raw_readings` method now includes robust exception handling, refined data processing, and improved data return protocols. Additionally, the `DateUtils` class has been enriched with a more versatile method for retrieving date and time values, featuring enhanced error handling and flexibility in handling historical data. ## Changes | Files/Modules | Change Summary | |---------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | `src/workflows/airqo_etl_utils/bigquery_api.py` | Updated `fetch_raw_readings` method to include exception handling, refined data processing, and enhanced return protocols. | | `src/workflows/airqo_etl_utils/date.py` | Enhanced `DateUtils` class with more versatile date and time retrieval via `get_dag_date_time_values` method, and updated `date_to_str` method to include a default value for the `unit` parameter. | ## Sequence Diagram(s) ```mermaid sequenceDiagram participant User participant BigQueryAPI participant BigQuery participant DateUtils User->>BigQueryAPI: fetch_raw_readings() BigQueryAPI->>BigQuery: Query data with job_config BigQuery-->>BigQueryAPI: Return results as DataFrame BigQueryAPI-->>User: Return processed results or raise exception User->>DateUtils: get_dag_date_time_values(historical, days, hours) DateUtils-->>User: Return calculated start and end dates as strings ``` ## Poem > In code so fine and clear, > BigQuery reads without fear, > Dates are now more smart, > Fetching data, doing its part. > Errors handled with grace, > Data flows in its place. > 🌟✨ Code refined, a joyous case!

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