Airqo-Historical-Hourly-Measurements Type Error Fix

[MartinKalema]

WHAT DOES THIS PR DO?

• [x] Fixes the type error in the extract_aggregated_raw_data task .
• [x] Adds a Unit Test for the task.

HOW TO TEST

import unittest
from airqo_etl_utils.tests.test_airqo_utils import TestAirQoDataUtils

test_loader = unittest.TestLoader()
test_names = test_loader.getTestCaseNames(TestAirQoDataUtils)

suite = unittest.TestSuite()
suite.addTest(TestAirQoDataUtils('test_extract_aggregated_raw_data'))

runner = unittest.TextTestRunner()
runner.run(suite)

Summary by CodeRabbit

• New Features
  • Introduced support for fetching weather data using the OpenMeteo API.
  • Added a new method to retrieve weather data for multiple locations in parallel.
• Improvements
  • Enhanced data extraction and cleaning processes for low-cost sensors data.
  • Updated logic for averaging measurements to target numeric columns.
  • Improved error handling and informative logging during data extraction.
• Configuration
  • Added OPEN_METEO_BASE_URL configuration setting.
• Tests
  • Added new test for validating aggregated raw data extraction.

[coderabbitai[bot]]

Walkthrough

## Walkthrough The updates encompass enhancements and new functionalities for weather data extraction and sensor data processing. Key changes include refined functions for handling and aggregating sensor data, improved error handling, and the introduction of a new API for fetching weather data using OpenMeteo. Additionally, configurations have been updated to support the new API integration, and tests have been expanded to ensure data extraction accuracy. ## Changes | File Path | Change Summary | |------------------------------------------------------|----------------------------------------------------------------------------------------------------------| | `src/workflows/airqo_etl_utils/airqo_utils.py` | Refined data extraction and aggregation logic, added error handling, and new functions for sensor data. | | `src/workflows/airqo_etl_utils/config.py` | Added `OPEN_METEO_BASE_URL` configuration. | | `src/workflows/airqo_etl_utils/openmeteo_api.py` | Introduced `OpenMeteoWeatherAPI` class for fetching weather data using OpenMeteo API. | | `src/workflows/airqo_etl_utils/tests/test_airqo_utils.py` | Added a new test method to validate sensor data aggregation. | | `src/workflows/airqo_etl_utils/weather_data_utils.py` | Updated method to accept and process coordinate batches for weather data. | ## Sequence Diagram(s) ```mermaid sequenceDiagram participant User participant AirQoUtils participant OpenMeteoAPI participant WeatherUtils User->>AirQoUtils: Request to extract aggregated raw data AirQoUtils->>OpenMeteoAPI: Request weather data for coordinates OpenMeteoAPI-->>AirQoUtils: Return weather data AirQoUtils->>WeatherUtils: Send weather data for further processing WeatherUtils-->>AirQoUtils: Return processed weather data AirQoUtils-->>User: Return aggregated raw data with weather info ``` ## Poem > In the realm of data, changes unfold, > Weather and sensors, stories told. > APIs call, data refined, > OpenMeteo's secrets aligned. > Testing ensures all things hold, > AirQo's wisdom, bright and bold.

---

Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

Share

- [X](https://twitter.com/intent/tweet?text=I%20just%20used%20%40coderabbitai%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20the%20proprietary%20code.%20Check%20it%20out%3A&url=https%3A//coderabbit.ai) - [Mastodon](https://mastodon.social/share?text=I%20just%20used%20%40coderabbitai%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20the%20proprietary%20code.%20Check%20it%20out%3A%20https%3A%2F%2Fcoderabbit.ai) - [Reddit](https://www.reddit.com/submit?title=Great%20tool%20for%20code%20review%20-%20CodeRabbit&text=I%20just%20used%20CodeRabbit%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20proprietary%20code.%20Check%20it%20out%3A%20https%3A//coderabbit.ai) - [LinkedIn](https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Fcoderabbit.ai&mini=true&title=Great%20tool%20for%20code%20review%20-%20CodeRabbit&summary=I%20just%20used%20CodeRabbit%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20proprietary%20code)

Tips

### Chat There are 3 ways to chat with [CodeRabbit](https://coderabbit.ai): - Review comments: Directly reply to a review comment made by CodeRabbit. Example: - `I pushed a fix in commit .` - `Generate unit testing code for this file.` - `Open a follow-up GitHub issue for this discussion.` - Files and specific lines of code (under the "Files changed" tab): Tag `@coderabbitai` in a new review comment at the desired location with your query. Examples: - `@coderabbitai generate unit testing code for this file.` - `@coderabbitai modularize this function.` - PR comments: Tag `@coderabbitai` in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples: - `@coderabbitai generate interesting stats about this repository and render them as a table.` - `@coderabbitai show all the console.log statements in this repository.` - `@coderabbitai read src/utils.ts and generate unit testing code.` - `@coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.` - `@coderabbitai help me debug CodeRabbit configuration file.` Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments. ### CodeRabbit Commands (invoked as PR comments) - `@coderabbitai pause` to pause the reviews on a PR. - `@coderabbitai resume` to resume the paused reviews. - `@coderabbitai review` to trigger an incremental review. This is useful when automatic reviews are disabled for the repository. - `@coderabbitai full review` to do a full review from scratch and review all the files again. - `@coderabbitai summary` to regenerate the summary of the PR. - `@coderabbitai resolve` resolve all the CodeRabbit review comments. - `@coderabbitai configuration` to show the current CodeRabbit configuration for the repository. - `@coderabbitai help` to get help. Additionally, you can add `@coderabbitai ignore` anywhere in the PR description to prevent this PR from being reviewed. ### CodeRabbit Configration File (`.coderabbit.yaml`) - You can programmatically configure CodeRabbit by adding a `.coderabbit.yaml` file to the root of your repository. - Please see the [configuration documentation](https://docs.coderabbit.ai/guides/configure-coderabbit) for more information. - If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: `# yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json` ### Documentation and Community - Visit our [Documentation](https://coderabbit.ai/docs) for detailed information on how to use CodeRabbit. - Join our [Discord Community](https://discord.com/invite/GsXnASn26c) to get help, request features, and share feedback. - Follow us on [X/Twitter](https://twitter.com/coderabbitai) for updates and announcements.