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Refactor fix update/code clean up #4044

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NicholasTurner23
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@NicholasTurner23 NicholasTurner23 commented Dec 11, 2024

Description

[Provide a brief description of the changes made in this PR]

Adds the network column for data re-calibration.

Summary by CodeRabbit

  • New Features

    • Expanded grouping criteria in data aggregation queries to include the network field.
  • Bug Fixes

    • Adjusted default grouping parameters for improved data handling in queries.

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coderabbitai bot commented Dec 11, 2024

📝 Walkthrough

Walkthrough

The pull request modifies the dynamic_averaging_query method in the BigQueryApi class located in src/workflows/airqo_etl_utils/bigquery_api.py. The default value for the group_by parameter is updated to include the network field, expanding the criteria for data aggregation in SQL queries. This change does not affect other method signatures, logic, or error handling, maintaining the overall structure and functionality of the class.

Changes

File Path Change Summary
src/workflows/airqo_etl_utils/bigquery_api.py Updated the default value of the group_by parameter in dynamic_averaging_query to include network.

Possibly related PRs

Suggested reviewers

  • Baalmart
  • BenjaminSsempala

🎉 In the realm of code where queries flow,
A new grouping field begins to grow.
With network added to the mix,
Data aggregation gets its fix.
In BigQuery's dance, the changes align,
Expanding horizons, oh how they shine! 🌟


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Actionable comments posted: 0

🧹 Outside diff range and nitpick comments (1)
src/workflows/airqo_etl_utils/bigquery_api.py (1)

Line range hint 893-921: Document and implement the pending TODO items.

The fetch_raw_readings method contains:

  1. An undocumented TODO comment
  2. A comment about reviewing model performance with/without location
  3. A TODO comment about reviewing frequency

These comments suggest incomplete implementation or pending tasks that should be addressed.

Would you like me to:

  1. Generate comprehensive documentation for this method?
  2. Help implement the model performance review logic?
  3. Create a GitHub issue to track these pending tasks?
📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

📥 Commits

Reviewing files that changed from the base of the PR and between 60fe22e and 903fdce.

📒 Files selected for processing (1)
  • src/workflows/airqo_etl_utils/bigquery_api.py (1 hunks)
🔇 Additional comments (1)
src/workflows/airqo_etl_utils/bigquery_api.py (1)

719-719: LGTM! Addition of 'network' to default group_by is well-implemented.

The change to include 'network' in the default group_by list aligns with the PR objective of adding network-based data re-calibration support. The implementation maintains backward compatibility while enhancing the granularity of data aggregation.

Let's verify the impact on existing query patterns:

✅ Verification successful

The previous results show direct usage of dynamic_averaging_query with explicit group_by parameters, but we need to understand:

  1. The full implementation of query_data to see how it handles dynamic queries
  2. Any test cases that might break with the new default
  3. Any configuration files that might have predefined group by columns

The previous results didn't give us enough context about the query_data implementation and potential test cases. Let's examine these specific areas to ensure the change is safe.


Addition of 'network' to default group_by is safe and well-implemented

Based on the comprehensive analysis of the codebase:

  1. The query_data method properly handles the network parameter and dynamic_query flag, showing it's designed to work with network-based grouping.
  2. Direct usage of dynamic_averaging_query shows explicit group_by parameters being passed, which means the new default won't affect existing calls.
  3. No test files were found that could be impacted by this change.
  4. The infrastructure configuration files don't contain any conflicting group_by settings.

The change maintains backward compatibility while enhancing the data aggregation capabilities for network-based analysis. The implementation is safe to proceed with.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Check for existing usages of dynamic_averaging_query to ensure they handle the new network grouping correctly

# Search for direct calls to dynamic_averaging_query
echo "Checking direct method calls:"
rg -A 5 "dynamic_averaging_query\(" 

# Search for calls to query_data with dynamic_query=True
echo "Checking indirect usage via query_data:"
rg -A 5 'query_data.*dynamic_query=True'

Length of output: 1847


Script:

#!/bin/bash
# Let's examine the implementation of query_data to understand how it uses dynamic_averaging_query
ast-grep --pattern 'def query_data($$$) {
  $$$
}'

# Also check for any test files that might be using these methods
fd test_ --exec rg -l "dynamic_averaging_query|query_data.*dynamic_query"

# Look for any configuration files that might define default group by columns
fd "config|settings" --type f --exec rg -l "group_by.*device|network"

Length of output: 253


Script:

#!/bin/bash
# Let's look at the actual implementation of query_data method
rg -A 20 "def query_data" src/workflows/airqo_etl_utils/bigquery_api.py

# Check the content of the configure_master.yml for any relevant group_by settings
cat infra/ansible/roles/k8s/tasks/configure_master.yml

# Look for any test files specifically in the workflows directory
fd test_ src/workflows --exec rg -l "dynamic_averaging_query"

Length of output: 2704

@Baalmart Baalmart merged commit 3d82b7b into airqo-platform:staging Dec 11, 2024
46 checks passed
@Baalmart Baalmart mentioned this pull request Dec 11, 2024
1 task
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2 participants